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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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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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, 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
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VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational technology (specifically, multimodal modelling) focusing on the complete spectrum of human communication channels. It aims to...
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knowledge and skills in the following areas: Life cycle analysis (in-house training possible at the start of the contract) Digital system consumption Networks and telecommunications Audio and video coding
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the reference code, in PDF format (preferably as one document) to Mrs. Prof. Dr. Beate Paulus: b.paulus@fu-berlin.de or postal to Freie Universität Berlin Fachbereich Biologie, Chemie, Pharmazie Institut für