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of innovative characterization techniques for electrocatalytic reactions Collaboration with data scientists and automation specialists to further develop a reliable, fast, material testing process Your Profile
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 24 hours ago
, translational neuroscience, psychology, medicine, neurobiology, computer science, engineering, mathematics, physics, neuroimaging, biochemistry, or related fields. The Master’s degree should have been awarded by
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Application process Send your application in English by email to amx@wzw.tum.de with title “Research Associate application” at latest 01.07.2025 including • A cover letter (for example elaborating your
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exclusively in German. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please look at our website for the current application
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://scholar.google.com/citations?user=7xRpOKQAAAAJ&hl=de&oi=sra https://scholar.google.com/citations?user=oGBEiU8AAAAJ&hl=de&oi=sra Your Profile: Master degree in physics (or in a related subject) Background and strong
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Programme duration 6 semesters Beginning Only for doctoral programmes: any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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Change, and Society" (CLICCS), Hamburg Max Planck Institute for Meteorology (MPI-ESM), Hamburg Helmholtz-Zentrum Hereon German Climate Computing Centre (DKRZ) Teaching language English Languages All
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responsibilities will include utilizing state-of-the-art ML platforms such as TensorFlow and PyTorch to process and analyze complex datasets related to CO2 transport and storage. You will develop methods for real