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in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages, PyTorch Familiar with foundation models (vision large models or multi
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molecular cell identification and single-/two-photon imaging techniques. You will work at the Leibniz Institute for Neurobiology (LIN) with Prof. Stefan Remy and in close cooperation with Dr. Janelle Pakan
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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
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extensive support through the RTG2413 (https://www.synage.de ) and the CBBS graduate program (http://gp.cbbs.eu ). Your profile: Master’s degree or equivalent in Neuroscience, Biology, Biomedical engineering
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. While communication and social networks are thought to influence one another, the mechanisms underlying this interplay remain poorly understood. Using cutting edge bio-logging technology, this project
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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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profile. Active participation in a large research project about the scaling of intervention studies, with a focus on mentoring for young people from disadvantaged backgrounds. the doctoral program in
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program, colloquia, workshops). Your tasks Processing and analyzing text-based data from learning management systems, assessment systems and qualitative data sources such as interview transcripts
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
materials and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further