20 component-labeling-agorithm-cuda PhD positions at Leiden University in Netherlands
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will work in a highly collaborative environment as part of a inter-national team of PhD, postdoctoral researchers, MSc, and professional staff. Our lab supports diversity, access, and inclusion in all
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will inform port operations in the Netherlands and globally, as part of the project objectives. Key responsibilities Develop own research plan (in alignment with the project and assisted by supervisors
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Institute of the University of Leiden, as part of the VIDI project “The noncommutative geometry of bounded symmetric domains”. The overarching aim of this project is to achieve a comprehensive understanding
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, or specific genes on phenotypes. If we have only access to observational data, a part of causal relations among the variables can be recovered, and hence, the investigator is commonly left with some (or in some
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of 4 years, and the candidate is expected to complete a PhD thesis at the end of this period. A contribution to classroom teaching (maximum 10% of the time) will be part of the responsibilities
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to perform research on the energetic and nutritional costs and benefits of Eurasian wild plant foods. The project is part of the NWO-VICI awarded to Prof. dr. A.G. Henry, titled: “Hominin FoodWays
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diverse team and work hard to create an environment where people of all ilk can flourish. We form part of the Leiden Institute of Chemistry, one of the foremost chemistry institutes in the Netherlands
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, which will involve a combination of nanofabrication, nanoscience, chemistry, instrumentation development and tunneling signal analysis. You will work in a highly collaborative environment as part of a
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will work in a highly collaborative environment as part of a inter-national team of PhD, postdoctoral researchers, MSc, and professional staff. Our lab supports diversity, access, and inclusion in all
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part of LIACS, the Leiden Institute of Advanced Computer Science, in close collaboration with an industrial partner. You will work with top AI researchers in reinforcement learning and machine learning