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(Automated Design of Algorithms) group in the machine learning clusters at LIACS, Leiden University, and supervised by Jan van Rijn and Holger Hoos. You will be working intensely with other project members
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, supramolecular chemistry and/or catalysis You want to join an internationally renowned university and research group working in cutting-edge photochemistry You want to take part to a multidisciplinary project
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group working in cutting-edge photochemistry You want to take part to a multidisciplinary project involving most Dutch universities and many companies, to contribute to a more sustainable society What you
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The postdoc project aims at fabricating graphene edge sensors for single molecule detection and biopolymer sequencing. The device architecture will be scalable and tunable by combining unique
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Activities (PEAs) and their outputs. In response, this project will develop strategies for making PEAs more visible in OS monitoring exercises, with an eye toward supporting greater recognition and reward
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frameworks for monitoring OS are ill-equipped for capturing the variety and impact of such Public Engagement Activities (PEAs) and their outputs. In response, this project will develop strategies for making
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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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. At CWTS/, Leiden University, we are seeking a postdoctoral researcher to lead a two-year research project developing the evidence base and monitoring tools needed to track, evaluate, and strengthen CS&SE
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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research project investigating how visual foundation models can efficiently acquire new expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer