55 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Fellowship positions at University of Nottingham
Sort by
Refine Your Search
-
across epidemiology, building science, and exposure modelling — contributing to an ambitious international programme with direct policy relevance. Be part of a project that will influence how buildings
-
Gerada, the role holder will work with the academics, researchers and PhD students in managing and conducting research activities across the programme. Prior direct experience of successful PhD student
-
are encouraged to discuss the details with the project leads: Dr Emma O’Dowd emma.odowd@nottingham.ac.uk and Professor David Baldwin david.baldwin@nottingham.ac.uk . You will be expected to plan and conduct work
-
Applications are invited for a Research Associate/Fellow on an NIHR Invention for Innovation (i4i) Programme-funded project in the Breast Cancer Pathology Research Grou within the Nottingham Breast
-
The role-holder will work dynamically within the Rights Lab’s Law and Policy Programme to support collaborative research projects focused on antislavery and anti-trafficking governance, focusing
-
computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
-
About the role - The role-holder will work collaboratively to support this Rights Lab research project. The role holder will be expected to work collaboratively as part of an interdisciplinary team, as well as undertaking independent research on the topic of risk of human trafficking among...
-
to plan and conduct work using approaches or methodologies and techniques appropriate to the type of research, and will be responsible for writing up work for publication. You will ideally have experience
-
computational arm of a Leverhulme Trust-funded project investigating how cryogenic OrbiSIMS interacts with complex biomolecular structures. Working closely with experimentalists and international collaborators
-
Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm