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, digital twin enabled process development and life cycle assessment will be researched. Primary Supervisor: Prof Xichun Luo Additional Supervisor/s: Dr Matt Boyle Contact Details: For further details please
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teaching, conduct an external research stay, and disseminate your research through publications. Qualifications You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic
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, show ambition and self-responsibility, and demonstrate the determination to contribute to the success of the project at the highest international level. You must have a two-year master's degree (120 ECTS
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involves working closely with RIDGS faculty and community partners, and may require the creation of original oral history resources by conducting interviews. RIDGS may also begin new ethnic studies resource
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Principal Investigator: Professor Stefan Dercon Contract Type: Fixed-term, from 1 October 2025 to 30 September 2026 (extension possible based on funding) About the project: This project evaluates
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: Eligible are students that have obtained, or that will obtain in the next months an academic degree comparable to the master degree or diploma in Biology, Life Science, Biomedicine, or equivalent. Excellent
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or carried out their main activity (work, studies, etc.) in the country of their recruiting organization for more than 12 months in the three years imme-diately prior to the recruitment date. Compulsory
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possession of a doctoral degree at the date of the recruitment). At the time of recruitment, the researcher must not have resided or carried out their main activity (work, studies, etc.) in the country
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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Description: The primary goal of the doctoral project is to gain knowledge in population biology of ectomycorrhizal fungi in boreal forests, but also to interpret such knowledge into better conservation