Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Glasgow
- King's College London
- ;
- ; Newcastle University
- University of Oxford
- ; University of Warwick
- Durham University
- University of Sheffield
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Leeds
- University of Cambridge
- ; Cranfield University
- ; University of Southampton
- KINGS COLLEGE LONDON
- Swansea University
- University of Bristol
- ; Brunel University London
- ; Durham University
- ; Max Planck Institute for Social Anthropology
- ; Swansea University
- ; UCL
- ; University of Cambridge
- ; University of Copenhagen
- ; University of East Anglia
- ; University of Surrey
- ; University of Sussex
- Brunel University
- DURHAM UNIVERSITY
- Loughborough University
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Newcastle University
- Oxford Brookes University
- UNIVERSITY OF SOUTHAMPTON
- Ulster University
- University of Leeds
- University of Newcastle
- 27 more »
- « less
-
Field
-
of Manchester from October 2024. The use of machine learning methods and molecular simulations for polymer design and property prediction is the new frontier in polymer science. This project aims at using a mix
-
interpret the ageing results obtained from the experiments as well as to identify potential new ageing markers. Computational chemical modelling which also called Molecular Dynamic (MD) simulation is becoming
-
PhD Studentship: Molecular Simulations and Data-driven Modelling for Polymer Nanocomposite Membranes
potential exists in their application to the design of Mixed Matrix Membranes for gas separation. The goal of this project is to apply molecular simulations and machine learning techniques to design MMMs with
-
investigate the thermal break-up of pure polymers and composites under high temperatures and fast heating rates through molecular dynamic simulations. For a position as a PhD Candidate, the goal is a completed
-
Molecular Modelling and Simulation for Solid Adsorbents for Industrial Carbon Capture Department of Chemical & Biological Engineering PhD Research Project Self Funded Prof Meihong Wang Application
-
and/or OpenMM. Experience in developing coarse-grained models, polymer models, and/or in developing and applying Molecular Dynamics and/or Monte Carlo simulations to biomolecular systems or condensed
-
experience in Molecular Dynamics simulations Full details of the role and the skills and experience required, can be found in the attached job description which provided on the next page. We pride ourselves
-
. The problem with classical molecular dynamics is that for molecules of this size atomistic simulations can be done on the time scale of picoseconds but the time scale of important biological processes such as
-
studying molecular cues behind cell fate decisions in pancreases. Our main goal in the lab is to decipher the fundamental regulatory networks involved in pancreatic cell fate decisions using induced
-
Oxford, as well as Imperial College London. You will focus on the development of a computational platform to accelerate our ability to engineer biology across scales – from molecular circuits to cellular