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Field
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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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Application Deadline 21 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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is part of the R&D programme of GroenVermogenNL. You will work closely with other colleagues involved in GroenVermogen including Aad Correljé, Toyah Rodhouse, Eugen Popa and Udo Pesch. You will join a
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Postdoc: Geospatial AI Modelling & Uncertainty Quantification of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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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 Today, companies across a wide
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23 Aug 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biological engineering Biological sciences » Biology Physics
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, training and courses. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed
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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 Are you excited by out-of-the-box
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics