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. Our offer You will be enrolled in the doctoral program in Mechanical Engineering at ETH Zürich under the supervision of Prof. Dr. Dennis Kochmann and Dr. Jakob Schwiedrzik. This fully-funded and full
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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the development of research and innovation funding applications. For more information about the Urban Sciences Building, please click here For more information about the School of Computing and our research, please
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talents. You will join the PhD program at the Graduate School of Life Sciences https://www.uu.nl/en/education/graduate-school-of-life-sciences . More information For more information, please contact Dr
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Kohlenforschung, Mülheim/Ruhr Ruhr-Universität Bochum Universität Duisburg-Essen Teaching language English Languages The doctoral programme is conducted entirely in English. Full-time / part-time full-time
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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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at laboratory scale using small-area gas-diffusion electrodes (<5 cm²). Scaling up these systems introduces significant engineering challenges, including mass transport limitations, long-term catalyst durability
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microscopy techniques and image analysis (confocal, multiphoton, or other advanced imaging techniques) and/or electrophysiology. Demonstrated computational knowledge, use of ImageJ, and familiarity with a
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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is an initiative of the SciTeach Center , a resource center dedicated to supporting the teaching of science at the primary levels in Luxembourg. The successful candidate will both coordinate and