12 learning-"https:" "https:" "https:" "https:" "https:" "https:" PhD positions in Denmark
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position will be affiliated with either the research group It and Learning Design ( https://www.ikk.aau.dk/forskning/forskningsgrupper/l-ild and https://www.ikk.aau.dk/forskning/forskningsgrupper/kild
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. For non-Scandinavian candidates, a commitment to learning Danish, including reading, writing, and speaking, is expected during the employment period. Contact Further information on the position may be
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topics: Development of deep learning models Mathematical foundations of machine learning Optimal deployment of AI systems The candidate is expected to hold a relevant MSc degree in Computer Science
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc Position in Neuro-morphic Reinforcement Learning
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research results effectively. The ability to work independently as well as collaboratively in a research environment. For non-Scandinavian candidates, a commitment to learning Danish, including reading
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initiative here: https://www.michaeljfox.org/grant/connecting-environmental-exposome-pd-risk-and-disease-pathology . Project description The PhD project will focus on associations between toxicants
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program ( https://www.sdu.dk/en/om_sdu/sdus_profil/strategi/udfolder_talenter_og_fremmer_det_unikke/4_plus_4_ph_d ) Strong collaborative and communication skills and an interest in working in an
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immersive virtual/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. The main aim of this work package is to investigate how such
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-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop implementation would be an advantage. You are not expected to have expertise in
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: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026/mante-vertelyte/ and here: Can history help us understand why children do not