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Field
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/ Your role The successful person will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in Information Systems (IS) and they will contribute to an industry
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: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The successful candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in
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: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The successful person will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in
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time with or without notice. Required Qualifications: Education: PhD or equivalent degree in Biochemistry, Molecular Biology, Cell Biology, or related fields. This position requires a formal degree in
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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UiO/Anders Lien 15th August 2026 Languages English English English Join the University of Oslo as a PhD fellow in the APPROPRIATE project, focusing on wind power and the licencing system PhD
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uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and tumorigenesis. The Zhivagui
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and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern
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supporting documentation, are eligible to apply for this scholarship: A PhD in Medicine or Biomedicine obtained within the three years prior to the date of submission of the scholarship application
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at the University of Luxembourg brings together researchers from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close