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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 13 Feb 2026 - 17:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week
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and graduate students from across the US and the world, as well as crisis intervention in our Wellness Exchange walk-in clinic. Postdocs also spend part of their time serving on one of three specialty
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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://www.academictransfer.com/en/jobs/357668/postdoc-position-in-synthetic-c… Requirements Specific Requirements You are an enthusiastic researcher who is eager to learn new techniques, does not shy away from challenges and
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immunostaining of cells and tissues, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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University of California, San Francisco | San Francisco, California | United States | about 4 hours ago
supervises a team of 3+ direct reports and temporary support employees, and works with 160+ employees department (Organized Research Unit – ORU), which includes faculty, postdocs, affiliates (including
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differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on
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, applications of machine learning to particle phenomenology, and lattice QCD, both within the Standard Model and beyond. The particle physics phenomenology group members are: J. F. Kamenik (head), B. Bajc, S
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written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated