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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through
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independent research while working effectively in a collaborative environment Experience with vision-language models, large-scale representation learning, or foundation model adaptation is particularly
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The Leiden Institute of Advanced Computer Science (LIACS) at Leiden University is seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment
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OpenML (tasks and automatically share detailed workflows and model evaluations. More than just a platform, OpenML fosters a collaborative ecosystem where scientists create new tools, launch
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our ultramicroscopy hall, and experimental groups are (at no charge) supported by excellent mechanical and electronic workshops. We foster an international and collaborative atmosphere and have close
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or otherwise collaborate on the design, execution, and analysis of: A bibliometric study of impact statements on successful grants funded by NWO, led by project co-lead Thed van Leeuwen, in order to