Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Leiden University
- MASARYK UNIVERSITY
- DAAD
- Nature Careers
- Umeå University
- ;
- ; The University of Manchester
- ; University of Strathclyde
- CEA
- Forschungszentrum Jülich
- Leiden University; Leiden
- National Institute for Bioprocessing Research and Training (NIBRT)
- Nord University
- Swedish University of Agricultural Sciences
- UCT Prague
- University of Groningen
- University of Luxembourg
- University of Münster •
- University of Oslo
- University of Twente
- Università degli Studi di Sassari
- Utrecht University
- Vrije Universiteit Brussel
- 14 more »
- « less
-
Field
-
criteria: a MSc degree in (molecular) biology, or a related discipline (obtained, or expected in the near future); demonstrable experience with basic molecular biology techniques; affinity for (or ideally
-
matter physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Good English language – spoken and written Nice-to-have: Experience with molecular dynamics simulations
-
: Applications are invited from outstanding graduates who meet the following criteria: BSc, including mathematics, cell and molecular biology Honors (first class) or MSc degree in Microbiology/Immunology
-
profile: Must-have: MSc or equivalent degree in computational simulations and related fields Theoretical knowledge of Molecular Dynamics and/or Monte Carlo Good English language – spoken and written Nice
-
of unconventional superconductors’ with Professor Michele Governale (Victoria University of Wellington) ‘From ab initio characterisation to simulation of molecular 'synapses' for neuromorphic computing’ with
-
modelling of laser shock peening. Molecular Dynamics (MD) and Finite Element (FE) simulations will be combined to account for the complex physical phenomena and their different scales. The interdependence
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
modelling of materials and machine learning. Experience in atomistic modelling (molecular dynamics, density functional theory) and machine learning is important, as well as a strong interest in pursuing
-
resistance potential of ash trees. The project aims to support conservation efforts by refining selection criteria for resistant ash based on a comprehensive understanding of disease dynamics and environmental