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Job Description DTU Compute and the Pioneer Centre for Artificial Intelligence are excited to offer a PhD position for a talented and motivated student to join our lab at DTU led by Theodora
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First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 12 Dec 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job
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, and capable of independent as well as collaborative work Note: The PhD project will focus on computational and experimental analyses of cancer cell lines; animal experiments will be performed by
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD positions
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Approach Quantitative/qualitative/experimental empirical research methods can be employed (depending on the studied research questions). Required profile Candidates applying for a PhD position within this
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, AI-enhanced simulations, and computational workflows to explore biological complexity and design solutions for a sustainable bioeconomy. The four PhD projects are: Further details on each project can
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD student positions will become available in the Institute for Ophthalmic
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
Description Offer Description PhD student positions will become available in the Institute for Ophthalmic Research (IOR) at the University of Tübingen (Germany) and the Institut de la Vision (IDV
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Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 31 Dec 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with machine learning methods with the support of