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variety of) behavioural and/or cognitive traits (e.g. birdsong, exploration behaviour, personality, (social) learning, social and spatial cognition etc…) in free-living birds. to quantify anthropogenic
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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Postdoc (f/m/d) Magnetoelectric Antiferromagnets / Completed university studies (PhD) in the fiel...
Helmholtz Association. Its qualification schemes for young researchers are geared mainly towards PhD students, postdocs and young managers. The Helmholtz Association has set high standards for its talent
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no.: 4259 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international
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(subfield: experimental condensed matter physics) or closely related field, such as Electrical Engineering. Preferred Requirements: Applicants whose PhD work included substantial experimental work with a
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Description The Division of Engineering at New York University Abu Dhabi seeks to recruit a motivated post-doctoral associate with a strong background in control systems and machine learning to join
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51 Faculty of Physics Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4162 Explore and teach
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
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-matter BEC in a telecom range Phys. Rev. B 110, 134321 (2024) Your role and goals The successful candidate is expected to lead the experimental effort with a team of PhD and master’s students and