Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- University of Copenhagen
- AALTO UNIVERSITY
- CNRS
- Eindhoven University of Technology (TU/e)
- Umeå University
- University of Warwick;
- The University of Manchester
- University of Oslo
- VIB
- DIFFER
- ETH Zürich
- European Synchrotron Radiation Facility
- Forschungszentrum Jülich
- German Cancer Research Center in the Helmholtz Association (DKFZ)
- Heidelberg University
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Institut Agro Rennes-Angers
- International PhD Programme (IPP) Mainz
- KNAW
- Leiden University
- Linköping University
- Monash University
- NTNU - Norwegian University of Science and Technology
- Paul Scherrer Institut Villigen
- Queensland University of Technology
- UiT The Arctic University of Norway
- University Muenster
- University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC)
- University of Münster •
- University of South Carolina
- Utrecht University
- 22 more »
- « less
-
Field
-
, cryo-electron microscopy (cryo-EM), cryo-EM-based polyclonal serology (cryo-EMPEM), molecular dynamics simulations, machine learning, and structural biology to define epitopes and engineer improved
-
an advantage: Deep learning or machine learning Structural bioinformatics Protein structure prediction and modelling Molecular simulations Membrane proteins or membrane biophysics Scientific software development
-
and software development. Proficiency in English (written and spoken). (Preferred) Experience with any of the following: Electronic structure software (e.g., Quantum ESPRESSO). Molecular dynamics
-
software (e.g., Quantum ESPRESSO). Molecular dynamics packages (e.g., LAMMPS). Machine learning interatomic potentials (e.g., GAP, MACE, NequIP ). Machine learning libraries and frameworks such as Scikit
-
seeking a doctoral researcher possessing a curious and self-driven mindset to develop and apply new simulation protocols to push towards realistic and dynamic modeling of AS-ALD processes. Recently, we have
-
or more of DFT, molecular dynamics, multiscale/materials modelling, or machine learning for the sciences including, Bayesian methods, uncertainty quantification, scientific AI workflows, automated discovery
-
German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 2 months ago
provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
-
or applying artificial intelligence methods to problems in the physical sciences Prior experience or coursework in machine learning, density functional theory, or molecular dynamics is advantageous Effective
-
and this study will help in doing that. This project has both fundamental and applied aspects. It will involve the use of atomistic Molecular Dynamics simulation to shed light on how and why this third
-
About the project: Fast and Flexible Nested Sampling via Collective Move Dynamics for Molecular Systems Supervisor: Dr Livia Bartók-Pártay, University of Warwick Organic matter encompasses a range