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environments, and assessing model explainability. You'll work closely with a team of graduate students, postdocs, and other collaborators to develop innovative AI models, create software tools, and establish
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of results through high-quality publications and open-source software contributions Your Profile: Master’s degree in chemical engineering, biotechnology, computational biophysics, bioinformatics, data science
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-183542-26 General Description PREP Research Associate This position is part of the National Institute of Standards and
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collaborative environment with projects and interactions spanning multiple labs within the group, across NIST and externally. Candidates should have a PhD in physics, electrical engineering, mechanical
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information about the lab. Note that two closely related PhD positions, one at the Department of Electronic Systems, NTNU, and one at the Department of Engineering Cybernetics will be announced separately. Your
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Analytics Software Engineering for Distributed Systems Telematics Theoretical Computer Science Optimal Transport Work on a scientific topic aims to enable the student to understand complex scientific work
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for candidates with their knowledge and experience in the key focus areas: Essential Expertise in tissue engineering and regenerative medicine, ideally working with human mesenchymal stromal/stem cells, and/or
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for candidates with their knowledge and experience in the key focus areas: Essential Expertise in tissue engineering and regenerative medicine, ideally working with human mesenchymal stromal/stem cells, and/or
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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data