20 computer-programmer-"https:"-"https:"-"FEUP" PhD scholarships at Utrecht University in Netherlands
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, K) analyses. This PhD project is part of the ‘SILICYCLE’ grant, awarded to Dr Sonja Geilert under the Vidi scheme of the Dutch Research Council (NWO). A personalised training programme will be set up
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develops the foundations of a transformative GeoQA methodology through an integrated research program across geoinformatics, AI, and geography. The project is based at the Department of Human Geography and
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of sediments, carbon, pollutants, nutrients, oxygen, and heat from the continental shelves to the deep ocean. Training A personalised training programme will be set up reflecting your training needs and career
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experience working in a collaborative project with academic partners and life science companies. You will also enrol in the Graduate School of Life Sciences (GSLS) Infectious diseases and Immunology programme
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closely with leading experts in epidemiology, omics, and environmental health within the Gravitation program Exposome-NL, a national research consortium that brings together more than fifty scientists from
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on preliminary results and research interests of the candidate. Training A personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be
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States of America) and you have obtained a diploma of secondary education in English for at least 2.5 years in one of the above countries. You have obtained your higher education diploma in English (the entire programme
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with spatiotemporal data analyses, remote sensing and numerical modelling; the ability to independently plan and organise the research, and to take a leading role in its direction; strong oral and
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PhD Position on Requirements Engineering and Spec-Driven Development Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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PhD Position in AI and Data Science for Modelling and Analyzing Reading Text Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40