12 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at Leiden University
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In collaboration with Utrecht University, you will quantify fire dynamics and its impacts on vegetation and climate at regional scales, combining global vegetation models with state-of-the-art
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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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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a postdoctoral researcher with a curiosity-driven record who works at
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-of-year bonuses (8.3 %), training and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be
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scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by enabling foundation models to efficiently specialise through the exploitation of structure
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; Develop novel algorithms for adapting and specialising visual foundation models; Publish research findings at leading machine learning and computer vision venues such as CVPR, ICCV, ECCV, NeurIPS, and ICLR
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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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. To lower the carbon footprint of coating and paint curing, it would be preferable to develop photocatalysts and reagents that react with red or NIR light. Low-energy photocuring inherently provides
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will do Existing paint or coating curing technologies typically rely on heat or high-energy UV light. To lower the carbon footprint of coating and paint curing, it would be preferable to develop
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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