1,074 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"J" PhD positions
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mathematics, or a related field. The candidates for the PhD position will be assessed on the following criteria: Strong skills in probabilistic modelling, machine learning, or simulation techniques. Programming
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company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve A wide range of training and professional development opportunities A respectful and
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supply-demand deficits becoming widespread by the 2050s. To effectively plan for water supply resilience, it is essential to robustly model future changes in hydrological systems. This project will develop
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programme with a wide range of training and professional development opportunities Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful and appreciative work
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Bård Halvorsen 9th January 2026 Languages English English English We are currently seeking motivated PhD candidates to develop and pursue research projects within the scope of our PhD programme
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Experience in quantitative data analysis and in handling complex bodies of data in the use of at least one programming language (e. g. Python, Java ...) Language skills (CEFR-Level): English at least C1
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programming experience is an advantage. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
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/scholarships/scholarship-policy-and-procedures The Opportunity This PhD scholarship forms part of a collaborative research program on digital transformation, data practices, and everyday life in Indonesia