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%). Requirements For this position we need an individual with the following qualifications: PhD in Food Science or Engineering, Chemical Engineering or Mechanical Engineering Sound background in engineering or
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-world use-cases. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists, research engineers, graduate research students and undergraduate students, to investigate
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multidisciplinary environment involving engineers, data scientists, clinicians, epidemiologists, public health experts, and project partners from academia, healthcare, industry, and research organizations. Profile We
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engineering The candidate will contribute to both fundamental research and the development of practical software platforms and demonstrators in collaboration with industrial and public-sector partners. We
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Postdoc (f/m/d) at Rossendorf Beamline at the ESRF / Completed PhD in Physics, Chemistry, Materia...
Helmholtz Association of German Research Centres | Tremblay en France, le de France | France | 2 months ago# Responsible for coordinating and implementing technical advances on the beamline Your profile # Completed PhD in Physics, Chemistry, Materials Science, Engineering, or a related field # Substantial experience
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independent Fellowship applications, PhD-student co-supervision. What we’re looking for * A PhD in physics/chemistry/materials science/engineering/a related discipline. * Experimental experience
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Position Information Posting Number F00785P Position Title Postdoctoral Research Associate Department Electrical Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Post
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be based at the Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology (the Netherlands), and collaborate will all partners in the ROUTES
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and computing technologies work closely with industry partners to support technology development in real-world applications publish research outcomes in leading international journals and conferences
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR