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- Delft University of Technology (TU Delft); Published 21 Nov ’25
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Deadline 26 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Netherlands Application Deadline 1 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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, scientists with expertise in metabolic engineering, enzyme engineering, computational modelling, and process optimization will work together. By combining microbial strains with synthetic metabolism with
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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 The Department of Medical and
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of life and also increasing informal caregivers’ mental and physical burden. In the context of the larger project DREAm, this postdoc position will look at indoor environmental aspects and try to optimize
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the Project We are seeking a Postdoctoral Researcher to contribute
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and computational tools needed to optimize the design and deployment of large-scale floating solar farms, ensuring their economic viability and environmental sustainability. In this postdoctoral
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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 The project
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imaging inside human long bones (https://doi.org/10.1007/978-3-030-91979-5_10). For optimal imaging inside bone, one must consider the challenging 3D wave physics imposed by bone tissue: wave refraction
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) physics. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track