36 finite-element-methods-"Multiple" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
experimental facilities including anechoic and reverberation chambers, a 6-axis motion simulator and multiple audio focused laboratories. In addition, we are currently making substantial investments to refurbish
-
the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
-
Lead research projects focused on understanding and redesigning enzymes using a combination of structural and computational approaches. Deliver high-quality structural biology, applying advanced methods
-
: Health Technology Assessment (HTA) methods and processes, including NICE health technology appraisals Statistical / specialist software (e.g. STATA, RevMan, Rayyan, winbugs) Health economic evaluation and
-
theoretical, computational and experimental methods and our aim is to provide an environment in which these different approaches can be combined and focused on particular topics of practical importance. You
-
doctoral degree (or near completion) in social psychology. Experience in a range of quantitative research methods, including laboratory experimentation. Strong statistical analysis skills. Good skills in
-
structural biology, applying advanced methods to determine and analyse protein structures that underpin enzyme function and redesign. Generate and interpret structural data to inform and validate computational
-
Identity. About you The successful candidate will have: A doctoral degree (or near completion) in social psychology. Experience in a range of quantitative research methods, including laboratory
-
goal of this project is to perform a coherent control experiments with a levitated particle, in the classical and ultimately in the quantum regime. We ultimately aim to generate experimental methods
-
professional development, exploring new tools and methods relevant to clinical trial applications. About You The successful candidate must have a PhD in Bioinformatics, Computational Biology, or a closely