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Deadline 10 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying
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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 Be part of
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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 Energy transitions are essential
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The accelerating transition toward climate-neutral energy systems is reshaping landscapes and affecting biodiversity worldwide. Achieving net biodiversity gain while advancing renewable energy
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Two Postdoctoral Researchers in Cell Delivery-Based Beta Cell Replacement Therapy for Type 1 Diabete
Network Security by building on the department’s broad expertise in AI, data science, computer science, applied mathematics and robotics. Your colleagues: You will join the Department of Advanced Compiting
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organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in
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PhD candidates in their doctoral research; Develop a network of academic and non-academic partners for the purpose of developing grant proposals; Support and/or coordinate grant proposals in
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the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network. Additional information For more information about this vacancy
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. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track record