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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 in
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steelmaking more resilient through feedstock upgrading, flexible mix design, AI-supported process steering, and valorization of EAF slags. The PhD candidate will contribute to understanding how future changes
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and Drug Safety is looking for a: PhD candidateGenetic Susceptibility in Stem Cell-Derived Organoid Safety Testing Why do people respond differently to harmful substances, and why are some individuals
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position within the field of mathematical or theoretical biology, computational physics, applied mathematics or computational science. This PhD project is part of the Gravitation programme GreenTE (Green
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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that aims to make future EAF steelmaking more resilient through feedstock upgrading, flexible mix design, AI-supported process steering, and valorization of EAF slags. The PhD candidate will contribute
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on impacts arising from offshore wind farm installation, operation, and maintenance (O&M), including physical and chemical stressors affecting benthic and pelagic ecosystems. The PhD project is expected
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chemistry and physics techniques. What you will do You will work in a small team, including one or more PhD students, towards the goal of designing, analyzing and testing novel device structures that exploit
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The Mathematical Institute of Leiden University and the Centre for Mathematical Sciences of Lund University have a position for a PhD candidate to join the project "Analysis of Inhomogeneous Wave
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advanced measurement techniques Working as a team, both within the group and in collaborations with other institutes The selected candidate will be required to enroll in a PhD program at Leiden University