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Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of the Leiden Institute
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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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administration and governance. You will teach in our Bachelor and Master programmes in Public Administration. Alongside teaching, you have or are looking to develop your own research agenda that is theoretically
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/science and http://workingat.leiden.edu/ . What you bring We are particularly interested in candidates whose work complements and expands our existing strengths in complex systems, colloidal particles
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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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better predictions of fire extents and its impacts on vegetation at regional scales. This is a contribution to INFLAMES (https://inflames-project.github.io/ ), a national research project on fires, with
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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academia and industry. For more information, see www.universiteitleiden.nl/en/science and http://workingat.leiden.edu/ . What you bring We are particularly interested in candidates whose work complements
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evidence. The aim of this project is to investigate thoroughly whether tVNS genuinely improves cognitive functions. For detailed project information, see: https://rb.gy/wmiqqk (project WP1) Your
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long as it relates to the French language and aligns with one (or more) of LUCL’s six research programs . You will teach courses in French on topics related to French language and culture and the