80 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "CNRS" positions at Imperial College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
We are seeking an outstanding Postdoctoral Research Associate to contribute to a high-impact research programme focused on decentralised systems and distributed ledger technologies (DLTs) in
-
The post is within the Thanzi La Mawa programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity
-
, independently driven delivery focus, with the ability to manage multiple programme initiatives to completion through well-developed organisation, coordination and facilitation skills The chance to deliver a new
-
prioritising key audiences across government, industry, sector bodies, research funders and international partners, and building a coherent programme of engagement activity that advances the Centre’s objectives
-
force for good in the world. Through our Imperial Class of 2030 programme, the continued development of our White City Deep Tech Campus, and cross-institutional School of Convergence Science focused
-
of universities, informing research strategy, and determining the allocation of significant public research funding. Preparing a successful REF 2029 submission is therefore a complex institutional programme that
-
reporting of SMART trials. What we are looking for This PhD is suitable for a UK resident with: Strong analytical and programming skills (e.g. R, Stata or similar) A Degree or Master’s with a substantial
-
of the project, plan and prioritise your own research activities, and maintain accurate experimental records and data analysis throughout. You will work collaboratively within the National Alternative Protein
-
/Programme: Aeronautics Research (PhD) Research Topic: Please use reference number AE0085 Research Supervisors: Professor Matthew Santer, Dr. Paul Bruce Research Group: Aero For further information
-
closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific