112 parallel-and-distributed-computing-"Computer-Vision-Center" PhD positions in Netherlands
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methodological and conceptual impact. The historical research is intended not simply as a parallel study, but as a source of conceptual insight for the contemporary physics and mathematics in the project. The
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use of satellite data. You will work in a multidisciplinary environment connecting law with Earth Observation, artificial intelligence and computer science. Your duties conduct independent doctoral
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contribute to the preservation of our planet on a daily basis. Naturalis Biodiversity Center... is the national research and knowledge institute and a key player in biodiversity data and infrastructures
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realise your ambitions. Therefore, we provide various training and development schemes. Where you will be working You will be embedded in the Data Science section of the Institute for Computing and
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computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a postdoc at NIOZ in a collaboration with
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and living in the Netherlands, please consult the official website of the Dutch Government or the Expat Center East Netherlands website. Apply now Share this vacancy About the department The research
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PhD in Global Talent Mobility and Europe’s Strategic Autonomy Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application
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For candidates For employers For members AcademicTransfer Sign in Sign up en English (EN) Nederlands (NL) All jobs Comparative Historical Analysis of Welfare Provision and Demographic Changes
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PhD Candidate on Neurodiversity and Inclusion in Higher Education Faculty: Faculty of Social and Behavioural Sciences Department: Psychology Hours per week: 36 to 40 Application deadline: 16
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. More specifically, you will work on an open, explainable, and GeoAI-supported framework for the temporal integration of Earth system models with observational data from our spatially distributed