73 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at University of Nottingham
Sort by
Refine Your Search
-
focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
-
of Brewing Science (ICBS) at Sutton Bonington Campus. The role-holder will take responsibility for conducting research, developing research objectives and proposals for a specific project focused on
-
Degree (or equivalent) in a related subject area; a PhD (or studying towards). The ability to work in a team and build relationships and collaborate with others both internally. Here are some examples of
-
based in the School of Chemistry, University of Nottingham in the group of Dr Katherine Inzani. Candidates should hold a PhD (or close to completion) in materials science, chemistry, physics or similar
-
. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform global responses
-
Chemistry or related discipline) or the Business Science Fellow role (candidate have or are about to obtain a PhD in Chemistry or related discipline.). (Title will be ‘Business Science Associate’ where
-
We are recruiting a Research Fellow for the Hydrogen Research Group currently consisting of 5 academics, 9 research fellows and 15 PhD students. The successful applicant will join a
-
under-represented in Mathematical Sciences and strives to maintain an environment where people can be their authentic selves. You will be able to carry out duties to the highest standard and to evidence
-
/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
-
PhD (or near completion) in a relevant area such as Psychology, Mental Health, or Social Sciences. Experience in qualitative and/or mixed methods research. A demonstrable commitment to co-production and