Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SciLifeLab
- DAAD
- ; The University of Manchester
- MASARYK UNIVERSITY
- Nature Careers
- 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
- 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 Luxembourg
- University of Münster •
- University of New Hampshire – Main Campus
- University of Nottingham
- University of Oslo
- University of Twente
- Wageningen University & Research
- 22 more »
- « less
-
Field
-
) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division, our group advances generative models, molecular simulations
-
the two leaflets. However, most studies to date have focused on symmetric bilayers. This project addresses this gap by integrating molecular dynamics simulations with experimental techniques such as solid
-
during downstream processing. Theoretical investigation of molecule stability during DSP, using molecular interaction simulations such as e.g. Molecular dynamics (MD). Combination of PAT and data driven
-
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
-
. Predicting proton transfer mechanisms in polymer electrolyte membranes. Investigating structural and dipole dynamics in molecular electrets. Predicting formation processes and reaction mechanisms
-
dynamics (MD) simulations represent a powerful tool to study such interfaces, but MD of nanomaterial/liquid interfaces require well-calibrated intermolecular potentials, which don’t currently exist
-
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
-
, biophysics Machine learning and generative AI Molecular modeling and molecular dynamics simulations LNP formulation and characterisation including e.g. small angle scattering, microscopy, single particle
-
. 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
-
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