595 computer-programmer-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the recruitment process you can contact Rebecca Swift. Our vision and strategic plan We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window). We are a Disability
-
steps in the recruitment process It is anticipated that the selection process will consist of an interview. We plan to let candidates know if they have progressed to the selection stage within 2 weeks
-
take place three weeks following the closing date. This will consist of an interview which will include a research presentation. We plan to let candidates know if they have progressed to the selection stage
-
AI for interdisciplinary research: new methods for scientific literature analysis to drive AI-enabled research (C4-COM-Newman-Griffis) School of Computer Science PhD Research Project Competition
-
of Sheffield. The photonics industry’s annual output has reached £18.5 billion in the UK, and it has become a major industry in terms of revenue and recruitment. Also, quantum computing technology alone may
-
essential. An interest in making photonic devices and strong analytical reasoning is desired. Some computational simulation experience and programming experience is also valuable. The University of Sheffield
-
computational fluid dynamics and thermodynamics, an understanding of manufacturing considerations, especially safety concerns, process design, and the operation of a range of manufacturing tools and machines
-
degree in engineering, computer science, biomedical sciences, or a related field and demonstrate enthusiasm for interdisciplinary research, commercial translation, and real-world applications of advanced
-
experimental techniques, characterisation and computational modelling. In particular, you will gain experience in electrode manufacturing techniques, electrochemical characterisation, particle size and shape
-
Reinforcement Learning from Human and AI Feedback (S3.5-COM-Peng) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Bei Peng, Dr Zheng Yuan Application