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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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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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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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, 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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project The successful candidate carry out will research in the field of theoretical continuous-variable quantum computation. In particular, the focus will be on bosonic codes, classical simulation
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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
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code, in PDF format (preferably as one document) to Swantje Hartmann-Rolke: s.hartmann-rolke@fu-berlin.de or postal to Freie Universität Berlin Fachbereich Physik Institut für Theoretische Physik Frau
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concretely your work package contains: We invite you for a fully-funded postdoctoral researcher within the prestigious European Research Council (ERC) Consolidator Grant “Reinventing Multiterminal Coding