Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Forschungszentrum Jülich
- The University of Manchester
- Technical University of Denmark
- Ariel University
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Medical University of Innsbruck
- Umeå University
- University of Luxembourg
- University of Warwick;
- Aalborg University
- CSIC
- Cranfield University
- ETH Zürich
- Ecole Centrale de Lyon
- European Synchrotron Radiation Facility
- ICN2
- Inria, the French national research institute for the digital sciences
- Institut Català de Nanociència i Nanotecnologia
- J. Heyrovský Institute of Physical Chemistry of the CAS, v. v. i.
- KNAW
- Karolinska Institutet, doctoral positions
- King's College London
- Leibniz
- Leipzig University
- Loughborough University;
- Maynooth University
- Nature Careers
- Queensland University of Technology
- Swedish University of Agricultural Sciences
- Technical University Of Denmark
- Technical University of Munich
- Universite de Montpellier
- University of Groningen
- University of Leeds
- University of Münster •
- University of South Carolina
- University of Southern Denmark
- University of Warwick
- Universität für angewandte Kunst Wien
- Université côte d'azur
- Uppsala universitet
- 32 more »
- « less
-
Field
-
on the adsorption mechanisms of these molecules on the metallic surfaces. In this PhD project we will use state-of-art molecular simulation methods [2,3] to clarify the adsorption and desorption mechanisms of various
-
systems (LIED, Université Paris Cité), experts in classical atomistic simulations (molecular dynamics and coarse-graining, LMCE, CEA/DAM/DIF), as well as specialists in continuum simulations (finite element
-
the construction of 3D models of protein complexes inserted in membranes to quantuim chemistry calculations, including classical molecular dynamics simulations. The major points that will be under scrutiny during
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 4 days ago
(graph neural networks and transformers) The objective is to learn conformational heterogeneity directly from molecular dynamics simulations and to identify and predict allosteric communication pathways
-
at the molecular scale. Grand Canonical Monte Carlo (GCMC) simulations will be performed to predict adsorption isotherms and selectivities. Molecular dynamics simulations will be used to investigate diffusion
-
mouse models of cancer. The project will use molecular biology, protein biochemistry, and enzyme assays to further characterise this agent and understand its mechanism of action. You will manage your own
-
differential equation models of bacterial persistence. A particular challenge, both for simulation and for machine learning, lies in the high dimensionality of these equations, which causes grid-based numerical
-
and implant models Histology, advanced microscopy, and micro-computed tomography Spatial transcriptomics as well as molecular and bioinformatic analyses The candidate will work in a highly
-
, Ultra-cold gases, quantum optics, and quantum information , ultracold quantum gases , Ultrafast Molecular Dynamics , Ultrafast Physical Chemistry , Ultrafast Science , Unconventional and topological
-
simulations. Two complementary strategies will be employed: structure-based virtual screening (docking simulations + molecular dynamics) and ligand-based virtual screening (machine learning models). We have