126 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at University of Newcastle
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Salary: Lecturer Grade F: £41,064 - £46,049 per annum Lecturer Grade G: £47,389 - £56,535 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous
-
projects. The role will also provide the opportunity to learn and develop medicinal chemistry skills as applied to drug design. The role is ideal for someone who has, or is about to be awarded, a PhD in
-
Salary: £33,002 to £34,610 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension
-
, and citizen science? Join us in leading an exciting programme to engage schools and coastal communities with their marine heritage. You'll co-create citizen science initiatives, innovate inclusive
-
research aligned with the Materials, Concepts and Reaction Engineering Group [1]. As this position will be funded by a specific research grant [2], you must have experience in laboratory experiments with ion
-
pleased to offer a 0.2 FTE post for a period of two years to support our new undergraduate Cognitive Science Programme. We are interested in applicants from diverse backgrounds in Cognitive Science who can
-
of Engineering, the programme builds on the School’s established strengths in fluid dynamics, materials, intelligent sensing, advanced manufacturing and electrical power systems and will be delivered from the new
-
for Research Associate • PhD in any related areas, preferable in an interdisciplinary topic (e.g. Computational Neuroscience, or Biomedical Engineering) Newcastle University is a global University where
-
the research programme of the School and to register for a PhD under staff regulations which will be based on one of the School’s three research themes (Educational, Translational Oral Biosciences, Applied Oral
-
of disseminating research to both academic and industrial audiences. Qualifications PhD (or close to completion) in Computer Science, AI, Data Science, Machine Learning, Edge Computing, Signal Processing