65 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham
Sort by
Refine Your Search
-
. 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 relevant field such as brewing science, malting science, yeast
-
Engineering, or related disciplines, preferably a PhD in Mechatronics/Robotics Knowledge of kinematic, static, and dynamic analysis, and control solutions related to continuum robots Strong evidence of
-
Applications are invited from qualitative researchers with a PhD (or close to completion) for the position of Research Associate/Fellow within the School of Health Sciences. You will be part of a
-
signalling (e.g. calcium fluxes/signalling), root development, and molecular cell biology. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a related area of biological
-
to explore own research interests. We are looking for a researcher with experience of data-intensive projects involving simulations or observations, good knowledge of galaxy formation physics, and the ability
-
are currently performed in our laboratory. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a related area of biological science. The successful candidate should ideally
-
the sector, yet a lack of gender-disaggregated data combined with the predominance of gender-blind programming means that workplace protections often miss key threats to women’s wellbeing. The research aims
-
for you to access information and support on application and interview process. We offer a range of benefits, visit Your Benefits website to learn what we can offer you. We welcome applications from UK
-
continuous systems. The experimental data will contribute to developing an initial techno-economic evaluation to test the feasibility of utilising flower waste as feedstock. The project outcome is a first step
-
members and will be required to travel in the UK and internationally for data collection, co-production and dissemination activities. The candidate will have a PhD (or be nearing completion) in History