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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep
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containing all application documents to Personnel Management, University of Natural Resources and Life Sciences, Peter-Jordan-Straße 70, 1190 Vienna; E-Mail: recruiting@boku.ac.at . (Reference code: 193) We
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the central hypothesis of these infections causing general stress responses and behavioural changes, which can be assessed on metabolic level or by video observation and artificial intelligence analysis
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develop processes for the purification of hydrogen obtained from diol-based carrier molecules and to evaluate possibilities for the use of electrochemical compression processes. In this PostDoc position you
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Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Miriam Flickinger: ls-flickinger@wiwiss.fu
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, indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Martin Weinelt: weinelt@physik.fu-berlin.de or postal to Freie Universität Berlin Fachbereich Physik Institut für
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UHV equipment. Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Martin Weinelt: weinelt
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, together with significant documents (please include two suitable essays with your application), indicating the reference code, in PDF format (preferably as one document) to Dr. Alina Bothe: lastseen@zedat.fu