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, and downstream decisions, and to study how agentic reasoning can navigate trade-offs between interpretability, statistical reliability, and computational feasibility – and to develop principled criteria
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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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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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Fully Funded PhD Studentship (Home Fees) Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data Supervisor: Professor Angela Wood (Professor of Biostatistics and
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lipid signaling and metabolism drive disease—and innovate future therapies. PhD Position – Lipids and Cardiovascular Risk (LipidBRIGHT Doctoral Network) Our goal: To train the next generation of
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Risk (LipidBRIGHT Doctoral Network) Our goal: To train the next generation of scientists who bridge basic, clinical, and translational lipid research to combat cardiovascular disease and related
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will focus on one of four intertwined pillars (the “4Ms”), all designed as an integrated system: Monitoring (current dynamics and climate and nature related risks); Modelling (pathways to future climate
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at the intersection of genetics, epidemiology, and cardiovascular medicine. Using large-scale genetic and health registry data, you will investigate sex-specific differences in stroke risk among patients with atrial
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project aims to address this gap through the development of a rigorous empirical framework for evaluating the security robustness, failure modes, and operational risks of AI decision engines in cyber
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18th September 2026 Languages English English English PhD Candidate in Hydraulic and Geotechnical Engineering of Embankment Dams Apply for this job See advertisement This is NTNU NTNU is a broad