17 computer-programmer-"https:"-"UCL"-"https:"-"C.N.R" PhD positions at Utrecht University
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PhD Position in Computational Modelling of Fungal Evolution Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 14 April 2026 Apply now
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contributes to the undergraduate programs in Computer Science, Information Science, and Artificial Intelligence and a number of research Master's programmes in these fields. It employs over 200 people in four
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solve problems and identify opportunities, from a business as well as government perspective. U.S.E.’s Bachelor’s programme Economics & Business Economics offers students a solid foundation in economic
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Science Theory and Methodology (ICS) Graduate School. external link Your qualities We are looking for an enthusiastic candidate, who has (almost) finished a Master programme in Sociology, Interdisciplinary
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part of the National Growth Fund programme “Ombion-CPBT”, which is a national centre for valorizing and disseminating animal-free innovations and expertise in the biomedical domain. The PhD project
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the project is expected to result in several highly impactful publications. We offer an exciting opportunity to contribute to an ambitious and research programme within a highly motivated team and to
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the 1970s to the present. Your main duties and responsibilities include: developing an independent research plan based on the general framework of the PhD position and in alignment with the broader Vidi
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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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variables PhD position in small area estimation in the context of multisource data (probability and nonprobability data) The first position will be assigned to work package 1 (part B): Computing composite
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to genomic and epidemiological data; design controlled computational experiments (simulations and synthetic datasets) to validate theoretical predictions; apply your methods to large-scale viral datasets