37 web-programmer-developer-"INSERM" Postdoctoral positions at University of London in United Kingdom
Sort by
Refine Your Search
-
, contributing to our development and the success of our mission, and we are looking for individuals who are enthusiastic at the idea of contributing to the building of Professor Osmani's lab at Queen Mary
-
About the Role We are in search of exceptional, self-driven postdoctoral research associates (PDRAs) to join a dedicated team in developing and testing a groundbreaking minimally invasive device
-
Science. The successful candidate will contribute to the UKRI and EU-funded project PALPABLE, which focuses on developing advanced optical palpation devices for minimally invasive surgery. Key duties
-
EndoTheranostics and will be under the supervision of Prof. Kaspar Althoefer. You will be responsible for research activities and the development of soft robotic prototypes and closely work with the other partners
-
. The Institute is organised into six separate research centres which, though complementary and following the Institute strategic plan, also have Centre-specific objectives and requirements. The Centre for Cancer
-
, contributing to our development and the success of our mission. The core responsibility of this role is the development of multiscale computational models, with particular emphasis on bio-based composite
-
; Cryo-ET; Cryo-EM; membrane vesicles and amyloid kinetics. You will be a highly motivated individual and have the ability to work as part of a team and train others in the research group. Excellent
-
modelling/AI and/or computational neuroscience, with strong computational skills. The post holder will provide research support in the area of computational neuroscience/AI and animal cognition, develop
-
to our development and the success of our mission, as well as collaborating with key members of TOTAL OneTech, which will include regular visits to Pau (France) to present results. The aim of the research
-
related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals