69 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"P" "https:" positions at University of Oslo
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Experience in mathematical modelling and programming Fluent oral and written communication skills in English Desired qualifications: Previous experience in computational neuroscience MSCA requirements
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, control sys-tems, perception, control engineering, or autonomous systems Familiarity with ROS (Robot Operating System) and programming languages like Python or C++ Experience working with robots or other
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on therapeutic strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical applications. The program emphasises interdisciplinary collaboration across
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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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-erklæringen var sist oppdatert 30.11.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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-erklæringen var sist oppdatert 30.11.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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mobiltelefonen 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
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candidate(s) will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science. To promote a strategic career path, all PhD fellows are expected to submit a career
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programme. The work is expected to lead to a PhD in political science. To promote a strategic career path, all PhD fellows are expected to submit a career development plan, specifying career goals and the
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research visits with external collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo