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You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic
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algorithms for training analog circuits directly from input-output data. Developing fully decentralised learning rules that rely on local circuit information and are suitable for large-scale systems
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previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale . If you do not have letter grades from
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conferences and collaborate with academic and industrial partners across Europe as well as with researchers and PhD students at LTU. The work is largely independent, but you will receive continuous supervision
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for Explainable Precision Medicine, a consortium of 18 partners from 12 European countries. Full-time, TV-L E13, fixed-term for 48 months. Why this position is unique This PhD position offers large-scale multimodal
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GPU clusters for large-scale analyses. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The employment is
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partners across Europe as well as with researchers and PhD students at LTU. The work is largely independent, but you will receive continuous supervision. As a PhD student you work towards a doctoral degree
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms Apply for this job See advertisement This is
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30 Jun 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics Researcher Profile
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Vacancies PhD position in Mapping the Modern Electromagnetic Environment: Identifying Stray Currents in Complex, Interaction-Driven Systems Key takeaways The rapid electrification and digitalisation