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, hence requiring robustness and meeting all relevant industry standards. PhD research project The objective of this PhD is to contribute to the investigation, development, and valorization of self-learning
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/mod/aboutand our linkedIn page: linkedin.com/showcase/lmsd-kuleuven/. The PhD will be co-supervised by prof. Varvara Kouznetsova (https://www.tue.nl/en/research/researchers/varvara-kouznetsova ) from
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. This PhD project aims to investigate wind–planet interactions in systems with cool evolved stars, focusing on how stellar outflows shape planetary atmospheric structure, chemistry, and long-term evolution
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additional biomarker candidates•Contribute to the development of biomarker panels with diagnostic and/or prognostic potential The ideal candidate will have:•A Master’s degree in biomedical sciences
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fluid. Based on this, an innovative biomarker platform will be rolled out that aims to increase the success rate of early-phase clinical studies and ultimately accelerate the development of an effective
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on the broad theme of “AI, Politics and Society”. Artificial intelligence is rapidly transforming how decisions are made in government, business, and everyday life. This development offers significant
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industrial partners, integrate into existing workflows, and support the timely delivery of project outputs. Your work will involve contributing to research, development, and experimental activities, as
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tooling, and support the development and dissemination of demonstrations to industry.Project day to day: You are part of a multidisciplinary research group working on the topic of Life Cycle Engineering
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mentoring. For more information please contact Prof. dr. Veerle Vandeginste, mail: veerle.vandeginste@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60609767?hl=en
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more detailed description of the main research topics of the pure mathematics research groups at KU Leuven can be found here: https://wis.kuleuven.be/methusalem-pure-math/methusalem-lines-of-resear