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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 29 days ago
, developmental and cell biology, or biochemistry • experience in genome engineering approaches is of advantage • shows strong laboratory, analytical and communication skills • is enthusiastic, motivated, result
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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conferences Your profile - Master?s degree in physics, mathematics, computer science, or a related field - strong analytical skills and solid theoretical background - experience in machine/?deep learning and
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international journals and conferences Your profile Master’s degree in physics, mathematics, computer science, or a related field strong analytical skills and solid theoretical background experience in machine
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technologies with related surface analytical studies as well as the evaluation of their impact on corrosion and cell biological response. The project will be implemented in close cooperation with the Bone Lab
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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interfacial chemistry on the atomic-scale is as yet unresolved, owing to the lack of sufficiently suitable analytical capabilities. In this project, the PhD candidate (m/f/x) will employ atom probe tomography
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, Finance, and Management. You will develop strong analytical skills, publish in top journals, and join a global academic network. This fully-funded programme includes advanced courses, close faculty support
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skills (preferably Python) and experience with machine learning frameworks such as PyTorch or TensorFlow. Strong analytical and problem-solving skills and interest in mathematical research. Experience with