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. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
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excellence and continuous methodological improvement. Collaborate with the Data Scientist (AI) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology
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written Specific Requirements Ph.D. degree in Math, Statistics, Physics, Computer Science or related quantitative discipline LanguagesENGLISHLevelExcellent Research FieldBiological sciencesYears of Research
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are looking for a highly motivated scientist with: A PhD in Biochemistry, Structural Biology, or a related field Strong background in protein expression and purification, ideally membrane proteins Affinity
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29 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Engineering » Design engineering Researcher Profile Recognised Researcher
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undergraduate students. Contribute to teaching or other training activities (if applicable) Criteria of the candidate: PhD in the field of wireless communication, computer science, or any related field. Strong
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administration Required qualifications Doctoral degree (PhD or equivalent) in the field of Sport Science, Human Movement Science or Computer Science with a focus on Computer Science in Sport or Sports Analytics
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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of cooperation between UCLouvain and AGR; an educational activity allowing the valorization of research achievements in teaching activities at UCLouvain. Diploma PhD degree in Computer Science , Digital Archives