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for curious, ambitious, collaborative scientists who enjoy asking difficult biological questions. Applicants from diverse scientific and engineering backgrounds are encouraged to apply, including and not
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
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linkage with incubation and start-up ecosystems. About ACER: The center has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment
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and metabolic engineering. This multidisciplinary environment provides excellent opportunities for scientific exchange and collaboration. This project, co-supervised by professors Jack Pronk and Jean
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5 Sep 2026 Job Information Organisation/Company University of Vaasa Research Field Economics » Other Engineering » Electrical engineering Engineering » Systems engineering Engineering » Other
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 13 days ago
conversion. Your profile PhD in electrochemistry, catalysis, surface science, physical chemistry, or a related field Excellent documented research record Experience working with flow cells, FTIR, as
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perform in a real biological and agricultural system. In this position you will part of an interdisciplinary research environment spanning the AI Technology for Life external link and Plant-Microbe
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fusion science & technology, in the Tritium Science and Technology (TST) research group at the University of Manchester. The TST group conducts research focused on tritium behaviour in materials, tritium
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline