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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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How can generative AI (GenAI) support Health Technology Assessment (HTA) of medicines? HTA bodies and technology developers are already experimenting with GenAI, but systematic evidence on where it
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LevelPhD or equivalent Skills/Qualifications Who you are You have a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field. You have experience with power, thermal
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the ability to work independently and proactively address technical challenges. Stay current with developments in spacecraft propulsion, nanosatellite engineering, and plasma interaction technologies
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Comprehensive knowledge of software engineering fundamentals Ability to keep up with and adapt to rapidly changing technical advances A track record of conducting research and applying scientific methods to solve
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subject or subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and
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. The final output is a low-power, field-deployable platform tailored for the agri-food sector, capable of detecting early-stage contamination or quality shifts directly in harsh production environments
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Comprehensive knowledge of software engineering fundamentals Ability to keep up with and adapt to rapidly changing technical advances A track record of conducting research and applying scientific methods to solve
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rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will contribute to interdisciplinary research spanning process engineering, power
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, Electrical Engineering, Energy Systems, or a closely related field. Experience or strong interest in power system stability, renewable integration, energy system modeling, and/or electric mobility is a plus