Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SciLifeLab
- DAAD
- Nature Careers
- ; The University of Manchester
- MASARYK UNIVERSITY
- Umeå University
- University of Copenhagen
- University of Groningen
- Chalmers University of Technology
- RMIT University
- Swedish University of Agricultural Sciences
- UNIVERSITY OF HELSINKI
- ;
- ; The University of Edinburgh
- ; University of Warwick
- AALTO UNIVERSITY
- Aalborg University
- Ariel University
- California Institute of Technology
- Dresden University of Technology •
- Heidelberg University
- Linköping University
- NTNU - Norwegian University of Science and Technology
- National Institute for Bioprocessing Research and Training (NIBRT)
- Queensland University of Technology
- Technical University of Denmark
- University of British Columbia
- University of Luxembourg
- University of Münster •
- University of New Hampshire – Main Campus
- University of Nottingham
- University of Oslo
- University of Twente
- Wageningen University & Research
- 24 more »
- « less
-
Field
-
biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data-driven simulation with physics
-
-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
-
time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations
-
implementation is advantageous (especially if in the context of protein structure) Experience with structural biology and/or molecular dynamics is advantageous Publicly available code is advantageous Experience
-
crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
-
(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
-
, high vacuum apparatus and instrumentation, charged particle manipulation and detection systems, signal processing and scientific programming, quantum chemical calculations and molecular dynamics
-
on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in
-
dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified
-
one copy of marking key / legend (usually on back of transcript) for each institution. The graduate program may have some of the applicant's transcripts on file already; if so, well in advance