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PhD Position in Generative AI in Health Technology Assessment (HTA) Faculty: Faculty of Science Department: Department of Pharmaceutical Sciences Hours per week: 36 to 40 Application deadline
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured environments where terrain can change abruptly. However, formally certifying these opaque...
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(m/f/d) in the field of Ultrafast Chirality for Life and Technology (EU MSCA Project TRILOGY) Job profile: The EU-funded Horizon Europe Doctoral Network TRILOGY advances the emerging field of ultrafast
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Award summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates). Overview Artificial Intelligence (AI)-driven decision engines are increasingly
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In future fusion power plants operating with a closed-loop fuel cycle, breeding a sufficient quantity of tritium is essential for sustained power generation. A key performance metric is the Tritium Breeding Ratio (TBR), which depends on several tightly coupled factors, including breeder blanket...
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researchers have extensive experience in doctoral education and supervision. More information about the department of Energy and Technology, SLU https://www.slu.se/en/departments/energy-technology/ Read more
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Department for Energy Science is seeking candidates who wish to pursue a PhD in Energy Engineering. Your research will focus on developing and applying optimisation models to analyse the future role of
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Fixed term contract | Hautcharage | 14+22+12 Months Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a leading Research and
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. Intended start date: November 2026. Where to apply Website https://www.academictransfer.com/en/jobs/363068/phd-position-engineering-trustw… Requirements Specific Requirements a successfully completed MSc
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PhD Position: Engineering Trustworthy Energy Data Spaces for Heat Transition Planning How can heterogeneous energy data be shared securely and efficiently to accelerate the heat transition