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February 05, 2018

  • Date:10MondayDecember 2018

    TBA

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    Time
    14:00 - 15:00
    Title
    Cancer Research Club Seminar
    Location
    Max and Lillian Candiotty Building
    LecturerProf. Nira Ben Jonathan
    University of Cincinnati, USA
    Organizer
    Department of Immunology and Regenerative Biology
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    Lecture
  • Date:10MondayDecember 2018

    Small Molecule Inhibitors of Breast Cancer

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    Time
    14:00 - 15:00
    Location
    Max and Lillian Candiotty Building
    LecturerProf. Nira Ben-Jonathan
    Organizer
    Department of Immunology and Regenerative Biology
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    Lecture
  • Date:10MondayDecember 2018

    Against the flow: a colloidal Maxwell demon

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    Time
    14:15 - 14:15
    Location
    Edna and K.B. Weissman Building of Physical Sciences
    LecturerSaar Rahav
    Technion
    Organizer
    Department of Physics of Complex Systems
    Contact
    AbstractShow full text abstract about The connection between information and thermodynamics has be...»
    The connection between information and thermodynamics has been fascinating scientists ever since Maxwell envisioned his celebrated demon. Technological progress now allows realizing in the lab this celebrated idea that was originally conceived as a thought experiment. Indeed, recent years have seen experimental realizations of several types of information engines.
    In this talk, I will describe a realization of Maxwell’s demon in which a colloidal particle is “pushed” against a fluid flow. Beyond its appealing simplicity, our experimental setup also exhibits an almost full conversion of information to useful work, since it allows to control how much work is applied directly on the particle. Another feature of the setup is a frequent repeated measurement of the particle location, resulting in nontrivial correlations between the outcomes of consecutive measurements. The effect of these correlations on the useful information acquired is investigated with the help of computer simulations.
    · Joint work with Tamir Admon and Yael Roichman
    Lecture
  • Date:11TuesdayDecember 201812WednesdayDecember 2018

    The 66th Katzir Conference: Timelines in Biology 2018- From a Solo Recital to a Full Orchestra

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    Time
    08:00 - 08:00
    Location
    The David Lopatie Conference Centre
    Chairperson
    Yaarit Adamovich
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  • Date:11TuesdayDecember 2018

    “Diffusion NMR of out-of-equilibrium mixtures”

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    Time
    09:30 - 10:30
    Location
    Perlman Chemical Sciences Building
    LecturerProf. Jean-Nicolas Dumez
    Faculté des Sciences et Techniques, Universite de Nantes
    Organizer
    Department of Molecular Chemistry and Materials Science
    Contact
    AbstractShow full text abstract about The NMR spectra of molecular species in solution mixtures ca...»
    The NMR spectra of molecular species in solution mixtures can be separated with diffusion-ordered NMR spectroscopy (DOSY), a ‘virtual chromatography’ approach based on the measurement of translational diffusion coefficients. Classic DOSY experiments, however, require several minutes are not applicable to many important time-evolving mixtures.
    Taking advantage of the concept of spatial encoding, we show here that DOSY data can be collected in a single scan of less than one second for several types of out-of-equilibrium mixtures. SPEN provides an acceleration of DOSY experiments by several orders of magnitude. SPEN DOSY pulse sequences are developed, that compensate for convection effects and are suitable for measurements in low-viscosity organic solvents, a requirement to monitor organic chemical reactions. We also show how to collect multiple consecutive scans from short-lived, non-renewable signals produced by dissolution dynamic nuclear polarisation (D-DNP), which is a versatile and powerful hyperpolarisation method. These methodological developments are supported by advanced numerical simulations, based on a Fokker-Plank formalism to describe simultaneously the spin and spatial dynamics. An exemple of hyperpolarised sample is given with a model mixture of small molecules, while the ability to monitor a reacting mixture is illustrated with a diamination reaction in dichloromethane.
    The proposed UF DOSY methodology may contribute towards a real-time diffusion NMR analysis of mixtures, to help in the identification of a sample’s components and in the analysis of molecular interactions.

    Lecture
  • Date:11TuesdayDecember 2018

    “Diffusion NMR of out-of-equilibrium mixtures”

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    Time
    09:30 - 09:30
    Location
    Perlman Chemical Sciences Building
    LecturerProf. Jean-Nicolas Dumez
    Universite de Nantes
    Organizer
    Department of Molecular Chemistry and Materials Science
    Contact
    AbstractShow full text abstract about The NMR spectra of molecular species in solution mixtures ...»

    The NMR spectra of molecular species in solution mixtures can be separated with diffusion-ordered NMR spectroscopy (DOSY), a ‘virtual chromatography’ approach based on the measurement of translational diffusion coefficients. Classic DOSY experiments, however, require several minutes are not applicable to many important time-evolving mixtures.
    Taking advantage of the concept of spatial encoding, we show here that DOSY data can be collected in a single scan of less than one second for several types of out-of-equilibrium mixtures. SPEN provides an acceleration of DOSY experiments by several orders of magnitude. SPEN DOSY pulse sequences are developed, that compensate for convection effects and are suitable for measurements in low-viscosity organic solvents, a requirement to monitor organic chemical reactions. We also show how to collect multiple consecutive scans from short-lived, non-renewable signals produced by dissolution dynamic nuclear polarisation (D-DNP), which is a versatile and powerful hyperpolarisation method. These methodological developments are supported by advanced numerical simulations, based on a Fokker-Plank formalism to describe simultaneously the spin and spatial dynamics. An exemple of hyperpolarised sample is given with a model mixture of small molecules, while the ability to monitor a reacting mixture is illustrated with a diamination reaction in dichloromethane.
    The proposed UF DOSY methodology may contribute towards a real-time diffusion NMR analysis of mixtures, to help in the identification of a sample’s components and in the analysis of molecular interactions.

    Lecture
  • Date:11TuesdayDecember 2018

    The effects of ocean acidification on marine calcifyers: a mechanistic approach

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    Time
    11:30 - 12:30
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    LecturerProf. Jonathan Erez
    Professor of Oceanography (Emeritus), The Fredy and Nadine Herrmann Institute of Earth Sciences, The Hebrew University of Jerusalem
    Organizer
    Department of Plant and Environmental Sciences
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    Lecture
  • Date:11TuesdayDecember 2018

    “Glycan Structure ON and OFF cells”

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    Time
    14:00 - 15:00
    Location
    Gerhard M.J. Schmidt Lecture Hall
    LecturerDr. Daron Freedberg
    Center for Biologic Evaluation and Research, U.S. Food and Drug Administration
    Organizer
    Department of Chemical and Structural Biology
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    Lecture
  • Date:12WednesdayDecember 2018

    Developmental Club Series 2018-19

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    Time
    10:00 - 10:00
    Title
    "Two Faces Have I"
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerProf. Elazar Zelzer
    Organizer
    Department of Molecular Genetics
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    Lecture
  • Date:12WednesdayDecember 2018

    Chemical and Biological Physics and The Clore Center for Biological Physics Seminar

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    Time
    13:00 - 13:00
    Title
    Biological Tissues as Active Materials
    Location
    Gerhard M.J. Schmidt Lecture Hall
    LecturerProf. M. Cristina Marchetti
    Physics Department, University of California Santa Barbara
    Organizer
    Clore Center for Biological Physics
    Contact
    AbstractShow full text abstract about The mechanical properties of dense tissues control many biol...»
    The mechanical properties of dense tissues control many biological processes, from wound healing to embryonic development to cancer progression. In this talk I will discuss recent theoretical work that combines developmental models with active matter physics to describe dense tissue as active materials that exhibit a jamming-unjamming transition tuned by cell shape and cell motility. Cell division and death, as well as mechanical feedback that coordinates cell migration, can modify the transition resulting in novel tissue ``materials’’ properties. These findings may have implications for cell sorting and patterning in wound healing and development.
    Lecture
  • Date:12WednesdayDecember 2018

    Life in the palace A historical, biographical and visual point of view

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    Time
    17:30 - 21:30
    Location
    Dolfi and Lola Ebner Auditorium
    LecturerLife in the palace A historical, biographical and visual point of view
    Organizer
    Yad Chaim Weizmann
    Contact
    Lecture
  • Date:13ThursdayDecember 2018

    Joint mini-symposium

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    Time
    11:00 - 13:00
    Title
    Joel Richter will lecture on "Translational Control of Neurological Disease" Le Ma will lecture on "Molecular and Cellular Mechanisms of Axonal Branch Development"
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerProf. Joel Richter
    University of Massachusetts Medical School
    Organizer
    Department of Molecular Genetics
    Contact
    Lecture
  • Date:13ThursdayDecember 2018

    From single-cell variability and correlations across lineages to the population growth

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    Time
    11:15 - 12:30
    Location
    Edna and K.B. Weissman Building of Physical Sciences
    LecturerProf. Ariel Amir
    Harvard
    Organizer
    Faculty of Physics
    Contact
    AbstractShow full text abstract about Genetically identical microbial cells often display diverse ...»
    Genetically identical microbial cells often display diverse phenotypes. Stochasticity at the single-cell level contributes significantly to this phenotypic variability, and cells utilize a variety of mechanisms to regulate noise. In turn, these control mechanisms lead to correlations in various cellular traits across the lineage tree. I will present recent models we developed for understanding cellular homeostasis, with special focus on protein levels and cell size. These models allow us to characterize single-cell variability, including the emerging correlations and distributions. I will discuss the implications of stochasticity on the population growth. In contrast to the dogma, we find that variability may be detrimental to the population growth, suggesting that evolution would tend to suppress it.
    Colloquia
  • Date:16SundayDecember 2018

    Solution Processed Thin Films, Quantum Dots and Solar Cells: A Symposium in Honor of Prof. Gary Hodes

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    Time
    08:00 - 16:00
    Location
    The David Lopatie Conference Centre
    Chairperson
    Igor Lubomirsky
    Organizer
    Security and Emergency Branch
    Conference
  • Date:16SundayDecember 2018

    Sela Symposium 2018

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    Time
    09:00 - 12:00
    Title
    B cell and Antibody biology – from basics to therapy
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    LecturerProf. Michel Nussenzweig and Prof. Jeffrey V. Ravetch
    Organizer
    Department of Systems Immunology
    Contact
    Lecture
  • Date:16SundayDecember 2018

    Weizmann – Princeton – CNRS – HIT Plasma Workshop

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    Time
    09:45 - 17:00
    Location
    Weissman Aquarium
    LecturerTBA
    TBA
    Organizer
    Department of Particle Physics and Astrophysics
    Contact
    Lecture
  • Date:16SundayDecember 2018

    Soft Matter and Biomaterials Seminar

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    Time
    11:00 - 12:00
    Title
    Assembly of Supported Lipid Bilayers and the Effect of Nano-Patterns
    Location
    Perlman Chemical Sciences Building
    LecturerDr. Yair Kaufman
    Zuckerberg Institute for Water Research, Ben-Gurion University of the Negev
    Organizer
    Department of Molecular Chemistry and Materials Science
    Contact
    Lecture
  • Date:16SundayDecember 2018

    Molecular Genetics Departmental Seminars 2018-2019

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    Time
    13:00 - 13:00
    Title
    A repressor-decay timer for robust temporal patterning of Drosophila neurogenesis
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerInna Averbukh
    Organizer
    Department of Molecular Genetics
    Contact
    Lecture
  • Date:16SundayDecember 2018

    Economic Implications of Irrigation-Water Salinity

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    Time
    13:00 - 14:00
    Title
    SAERI - Sustainability and Energy Research Initiative
    Location
    Benoziyo Building for Biological Sciences, room 690C
    LecturerDr. Iddo Kan
    Department of Environmental Economics and Management and The Center for Agricultural Economics Research, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem
    Organizer
    Weizmann School of Science
    Contact
    Lecture
  • Date:16SundayDecember 2018

    Data-driven study of complex systems: from nonlinear PDEs to crumpled papers

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    Time
    13:00 - 13:00
    Location
    Edna and K.B. Weissman Building of Physical Sciences
    LecturerYohai Bar-Sinai, Harvard University
    Organizer
    Clore Center for Biological Physics
    Contact
    AbstractShow full text abstract about Data-driven methods, and Machine-Learning in particular, bec...»
    Data-driven methods, and Machine-Learning in particular, became very popular in many diverse fields due to their unprecedented ability to identify recurring features, causal relations and complex correlation structures. For the same reasons, the application of these methods to the physical sciences has also attracted much attention, though the field is still very much in its infancy. In this talk I will discuss two applications of Machine-Learning to the study of complex systems: First, I will show how data-driven discretization of nonlinear PDEs can produce accurate low-resolution models, effectively providing a coarse-grained equation which accounts for sub-gridscale physics. Second, I will discuss crumpling of thin sheets and how Machine-Learning can be insightful in studying the emergent patterns, by augmenting the dataset with in-silico calculations of a related system - rigid origami. This also suggests a general strategy of applying data-driven methods to experimental systems where data is scarce or expensive.
    Lecture

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