205 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Nottingham in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
period by the module convenor. Before applying, please ensure you have passed your first progression review and are in good standing on your PhD, including having your supervisor's approval to apply
-
close to completing) a PhD or equivalent experience in Psychology, Sociology, Anthropology, Health Sciences, Speech-Language Pathology, Audiology or another relevant subject area, and be experienced in a
-
research programme funded by the Academy of Medical Sciences Springboard award. This project aims to explore the role of these neighbouring glycoproteins in neurotrophin-mediated neuronal development as
-
the development of a novel sustainable brewing adjunct material. This project is sponsored by an industry partner and has set milestones and deliverables. Candidates must hold a PhD (or close to completion) in a
-
of disseminating research findings (e.g., through journal publications and conferences). - Have a PhD in Psychology or a related discipline (the PhD thesis must be submitted prior to starting the position). What we
-
’ or ‘internationally excellent’. The highly research active SP Section comprises 13 permanent academic staff with research interests in Bayesian computational statistics and machine learning, uncertainty quantification
-
PhD in a relevant discipline (or close to completion). Teaching experience in relevant subjects at HE level, together with excellent communication and presentation skills are also required. This is a
-
programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
-
quantifying antimicrobial sensitivity plus the use of in vitro virulence factor bioassays. Candidates must hold a PhD (or close to completion) in Microbiology or relevant subject area. This full-time (36.25
-
-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research