672 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in United Kingdom
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accelerator laboratories, the R&D work of the Liverpool Hadronic Matter Group focuses on the development of Monolithic Active Pixel Sensors (MAPS), the state-of-the-art silicon sensor technology for high
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and motivated candidates for a postdoctoral positions working on cutting-edge research at the intersection of Machine Learning, Privacy-Enhancing Technologies, and Public Interest Technology. We
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Applications are invited for a fixed-term full-time Postdoctoral Research Associate position in radar monitoring of natural hazards, beginning around July 2025 (although there is some flexibility in
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the successful software package VASP (Vienna ab-initio Simulation Package). Currently, the group consists of two full professors, one associate professor, several postdocs and about 10 PhD and master students
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dynamic strain and flow fields during flight. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. Desirable competencies would include
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to implantation, including validating methods in virtual in vivo environments. • Collaborate with engineers to refine fuel cell specifications and support in vivo experiments. You should hold a relevant PhD
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validating methods in virtual in vivo environments. • Collaborate with engineers to refine fuel cell specifications and support in vivo experiments. You should hold a relevant PhD/DPhil (or be close to
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Position: Postdoctoral Research Associate in Mathematical Physics Salary: Grade 7 (£37,174 - £46,735) Contract Type: Full Time (1FTE), Fixed Term (24 Months) Rewards and Benefits: 33 days annual
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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capabilities by harnessing the unrivalled power and adaptability of human brain neurons. This Research Associate position will support the project by inferring the processes that take place within a cortical