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electronics in an ecologically, economically, and socially sustainable manner. In a range of research and academic programs, REC² unites the natural and engineering sciences with the humanities, social sciences
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electronics in an ecologically, economically, and socially sustainable manner. In a range of research and academic programs, REC² unites the natural and engineering sciences with the humanities, social sciences
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Independent research within
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description For the independent research group “Theory of Biological Fluids” headed by
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universities, the Helmholtz Association and Fraunhofer Society. Teaching language English Languages English (100%) Mode of study Less than 50% online Programme duration 8 semesters Beginning Winter semester
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degree in computer science (or a related field) Rich experience in devising machine learning models, methods, and algorithms for computer vision and image processing. Scientific track record with
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 24 hours ago
for Quantitative Behavior, Ecology, and Evolution (IMPRS-QBEE), a cooperative doctoral program between the Max Planck Institute of Animal Behavior and the University of Konstanz, spanning from lab to field. Project
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relevant journals and/or in top-tier venues (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TMLR) Background in machine learning and AI, computer science or related fields Demonstrated commitment to high
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publications at top venues in robotics, computer vision, machine learning, or a relevant field); Excellent communication skills in English and ability to work in a dynamic team environment; Previous experience
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private domains. Our team combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences