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). Related projects include: UK Hub for Quantum-Enabled Position, Navigation and Timing (QEPNT) –Glasgow led. EPSRC Programme Grant– Chip-Scale Atomic Systems for a Quantum Navigator. STFC-NSERC UK-Canada
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science or engineering Strong computer science skills and some experience with statistical, machine learning, and image processing techniques Strong candidates with electrical, mechanical, and biomedical engineering
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researcher who is passionate about developing automated systems for microbiological research. The ideal candidate has: An MSc degree in bioengineering, biotechnology, microbiology, computer science, mechanical
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. The research will combine computational modelling, experimental validation, and machine learning techniques to develop a predictive phenomenological PAC model. The successful applicant will develop and apply
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din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en
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or international students) fully funded. Competitive Tax-free annual stipend for 3 years. Requirements The candidate should have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical
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have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine
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disordered leukemic oncogenes might be initiators of the formation of TCs through phase separation. These exciting observations bring together the biophysical mechanism of phase separation and the cell
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mechanisms. This new project specifically targets the role of microplastics in the development of lung cancer and is conducted in close collaboration with the lab of Dr Stefan Prekovic (UMC Utrecht
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, NTNU. This PhD position is financed via the European Research Council’s Advanced Grant Program. The candidate needs to fulfill the requirements of NTNU for obtaining a PhD. The appointment has a duration