Physics and Chemistry of Biological Systems

UPCOMING EVENTS

Collaborative workshop on self-assembly

The workshop is meant to provide an informal setting to foster the exchange of concepts, methods and problems among various groups working on soft-matter systems - especially self-assembly and will be held on 3-4 July, 2017. The partecipation is purposely limited to a small number of participants from groups that already have some scientific ties, so to encourage the sharing of our 'work in progress': open problems, new methodologies, and the topics that we believe will become the focus of next years research. This ought to help discussions and collaborations among us.

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PAST EVENTS

SISSA Mini-Workshop 2015 on 'Statistical and Molecular Biophysics'

The Workshop is hosted by SISSA and will be held on 12-13 October, 2015. This event is organized in the same days of the PhD defenses and it is intended to give a broad overview of the state of the art in the modeling of biological systems.

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Summer School on Atomistic Simulation Techniques for Material Science, Nanotechnology, and Biophysics (2015)

The Summer School (Trieste, July 6-24, 2015), is mainly directed to undergraduate students, with little or no experience in computer simulations. The aims of the schools are: (1) providing students with a basic but detailed overview of the theoretical basis of computer simulations of molecular systems, with a focus on molecular dynamics and electronic structure methods, (2) giving an overview of the domains of interesting applications, and (3) providing the basis for running simple molecular dynamics, Monte Carlo, and electronic structure simulations.

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Collaborative workshop RNA: structure, function and evolution (2015)

The event is hosted by SISSA and will be held on June 5 and 6, 2015.

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Christmas Miniworshop in Molecular and Statistical Biophysics (2014)

The Christmas Workshop is hosted by SISSA and will be held on 17 December, 2014. This event is intended to give a broad overview of the state of the art in the modeling of biological systems.

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