60 machine-learning-phd Fellowship positions at University of Nottingham in United-States
-
the University’s international reputation as a hub for cutting-edge research. Candidates must have a PhD degree in Power Electronics, Machines, and Drives or a closely related field, with a proven track record in
-
Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
-
contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research plan in developing
-
technologies and make a key contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research
-
developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
-
will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio Candidates must hold a PhD, or be near
-
the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
-
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
-
opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the area of of business administration (particularly in innovation, entrepreneurship, strategy
-
dynamics at the plasma membrane. Applicants must be highly motivated and self-driven, with a PhD in molecular biology, cellular or molecular pharmacology or a related area of biological sciences