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. Candidates must have a PhD degree and preferably postgraduate degree (or equivalent) in Applied Mathematics or Statistics, and excellent communication and presentation skills in English. Experience
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tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 23:59 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Hours
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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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and funded by a British Heart Foundation programme grant awarded to Dr Craig Lygate. The post holder will have a PhD in a relevant discipline with extensive hands-on experience of standard biochemistry
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. About You You will have, or be close to completion of a PhD/DPhil in Statistics, Machine Learning, Data Science, or a related quantitative discipline. You will demonstrate strong specialist knowledge in
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lively community of PhDs and Postdocs within its members, see https://www.arts.kuleuven.be/english/research/becoming-researcher . The Archaeology Research Unit joins the Research Units of Arts Sciences and
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courses in Economics, including: labour economics microeconomics supervision of Bachelor’s and/or Master’s theses Several courses require programming skills in statistical software such as R, Python and/or
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to CERN, or the other way around. Supervision of PhD and Master students could be arranged. LAPP is a laboratory of the Institute of Nuclear Physics and Particle Physics (IN2P3), an institute
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independent and collaborative research leading to publications in high-impact international journals Develop and apply advanced geospatial, statistical, and AI-based methodologies Contribute to international