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research fellow linked to the PhD programme in Humanities and the Arts . Please note: The call does not include PhD education within artistic research. Applicants who already has a PhD will not be assessed
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Electrical engineering Engineering » Mechanical
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cycle (Academic Year 2026/2027) of the PhD Programme in Civil, Environmental and Mechanical Engineering at the University of Trento (Italy). Positions: no. 14 Scholarships: no. 14 Where to apply Website
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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status
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The Neuropathology Research team is part of the department of Pathology at Amsterdam UMC. The team consists of neuroscientists and neuropathologists working on research into neurodegenerative diseases, including Alzheimer’s disease, frontotemporal dementia and ALS, as well as other brain...
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considered acceptable, and under what conditions additional evidence should be collected after a device enters the market. In this PhD project, which is part of the European COMPASS4MD project, you will study
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weaker grade background, you maybe considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme
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Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly imbedded in a physics environment, but the candidate strongly interacts with partners in applied physics, applied
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or more of the following areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level
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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability