Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- France
- United Kingdom
- Portugal
- Denmark
- Spain
- Poland
- Singapore
- Austria
- Belgium
- Czech
- Italy
- Luxembourg
- Switzerland
- China
- Norway
- Australia
- Finland
- Israel
- Japan
- Morocco
- Netherlands
- Vietnam
- Canada
- Hong Kong
- Ireland
- Romania
- Slovenia
- United Arab Emirates
- Worldwide
- 22 more »
- « less
-
Program
-
Field
-
Polymers using a combination of quantum and force field-based simulations that will be further integrated into a force field-based Molecular Dynamics (MD) approaches to assess the permeability and
-
cost of MD simulations by several orders of magnitude. Notable examples of our work in this area include Boltzmann Generators [1 ,2 ], Surrogate-model Assisted Molecular Dynamics [3 ], and Implicit
-
Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | about 2 months ago
employ a 3D dynamical model called a Cloud-Resolving Model (CRM). It is a non-hydrostatic atmospheric model simulating a rather small, local domain (a few hundred kilometers across, to be compared
-
» Modelling tools Engineering » Control engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe
-
We strive to understand the central nervous system at multiple levels of function, from cells to cognition to social interactions. Our approaches range from molecular, cellular and experimental
-
fusion and intracellular cargo delivery. Using a combination of coarse-grained molecular dynamics simulations with the Martini force field and complementary biophysical approaches, we will elucidate
-
, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough validation using advanced experimental techniques (such as mass spectrometry, electron microscopy, radiochemistry
-
environmental triggers, such as common viral infections and microbial exposures. With a strong translational focus, the group integrates cutting-edge molecular, cellular, and model systems to bridge fundamental
-
nanoparticles, cell survival and radioresistance. The MS-RADAM research programme combines state-of-the-artc omputational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics
-
research environment for biophysics. Our group combines molecular dynamics simulations with machine learning techniques to understand how proteins, biomembranes, and small drug-like molecules interact