596 parallel-computing-numerical-methods-"Prof" Postdoctoral positions in United Kingdom
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towards ultra-low energy AI, neuromorphic and in-memory computing systems, 6G, and logic systems with unprecedented efficiency and scalability. You will have a strong background and keen interest in
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predicative models of disease. Our integrated research programme has flexibility for the candidate to contribute to multiple ongoing initiatives whist driving their own research projects applying bioinformatics
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are looking for two highly motivated and talented postdoctoral researchers to work with Prof Craig Morgan and team on the exciting next phase of the ESRC Centre for Society and Mental Health Younger Generations
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microwave circuit design and simulation, theoretical analysis of classical and quantum circuits, numerical method development, cleanroom device fabrication, cryogenic system operation, and microwave control
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until 31 May 2026 Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator
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Computational Neuroscience and related fields as part of the Medical Research Council, UKRI grant “Algebraic topology bridging the gap between single neurons and networks”. They will be expected to conduct
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semiconductor materials. The position is available for a fixed term until 30 September 2028. This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts
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medieval European history, as well as awareness of current developments in the field. They have experience with interdisciplinary theories and methods and methodologies in late Antique and medieval studies
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develop the foundational and scalable tools, technology and methods needed to synthesise large sections of human genomes/chromosomes. Through programmable synthesis of genetic material the aim is to unlock
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We are seeking a highly talented and experienced Postdoctoral Researcher to join a research team led by Prof Chris Summerfield focussed on studying learning and decision-making in humans and machine