60 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" "St" positions 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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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
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Immunology programme and will be working in a supporting team environment were there is room for you personal development. PhD position 1 So far, the development of novel immunotherapies, such as vaccines and
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this period; a working week of 36 - 40 hours and a gross monthly salary between € 3.059 and €3.881 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch
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successful assessment; a gross monthly salary between €3,059 and €3,881 (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU)); 8% holiday pay and 8.3% year-end bonus; a pension
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application letter. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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, Computer science, Ontology engineering, Computational geoscience, AI and NLP, or a related field; a strong interest in conceptual modelling, semantic modelling, ontology engineering, formal logics or cognitive
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institutes: the Institute of Biodynamics and Biocomplexity (IBB) and the Institute of Environmental Biology (IEB). The department of Biology coordinates the teaching of the Bachelor’s programme in Biology
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deadline: 18 January 2026 Apply now Within the RegioDeal Foodvalley (RDFV-II) programme, you will contribute to advanced analyses of air quality monitoring data, emission modelling and scenario studies