Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SciLifeLab
- Karolinska Institutet
- Nature Careers
- ;
- University of Groningen
- ; The University of Manchester
- CNRS
- DAAD
- ETH Zurich
- Linköping University
- UNIVERSITY OF HELSINKI
- University of Twente
- Utrecht University
- Wageningen University & Research
- ; Technical University of Denmark
- ; University of Warwick
- Aalborg University
- Delft University of Technology (TU Delft)
- Dresden University of Technology •
- Forschungszentrum Jülich
- Hebrew University of Jerusalem
- Institute of Physical Chemistry
- Karlsruhe Instiute of Technology
- Karolinska Institutet, doctoral positions
- Leiden University
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Silicon photonics group / Univ Paris Sud
- Technical University of Denmark
- The University of Copenhagen
- Umeå University
- University of Copenhagen
- University of Iceland, School of Engineering and Natural Sciences
- University of Münster •
- University of Ostrava
- Uppsala universitet
- Wageningen University and Research Center
- 26 more »
- « less
-
Field
-
Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic modelling of materials and machine learning. Experience in atomistic modelling (molecular
-
in prokaryotic models. The successful applicant will work on one of two focus areas: (i) characterizing the role and dynamics of viral RNA-based components during virus infection, or (ii) exploring
-
. Experience with molecular dynamics software such as LAMMS is desirable. Experience with molecular simulation software is beneficial. To apply please contact Dr Siperstein - flor.siperstein@manchester.ac.uk
-
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
-
tomography (APT) and high-resolution scanning TEM for atomic-level microstructure and chemical composition analysis. Computational Modeling: Micromagnetic and molecular dynamics (MD) simulations. Job
-
liquid environment. 1) Molecular Modeling - Study of interactions between MnO₂ and ionic liquids using Density Functional Theory (DFT) and Reactive Molecular Dynamics (ReaxFF). - Analysis of oxidation
-
dynamic changes in gene and protein expression as stem cells differentiate into mature blood cell types. This doctoral project focuses on developing computational methods to model cell development
-
, or dynamic models to predict gene regulatory interactions. Work with digital twin technology, simulating patient-specific disease progression and treatment responses. Collaborate in an interdisciplinary
-
of cancer cells. The models are trained on high-throughput datasets, including metabolomics, proteomics, and transcriptomics, and constrained to align with the cell’s molecular networks. This allows us to
-
at the forefront of the development of theoretical and computational methods for atomic-scale modelling, including density functional based techniques, molecular dynamics, and multiscale simulation approaches. We