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patient–AI interaction design, focusing on how systems such as LLM-based tools, decision support systems, and adaptive health technologies are integrated into clinical workflows and/or patient’s lives
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Rearing & Bioconversion Trials Design, execute, and manage controlled BSFL rearing experiments using Sargassum-based substrate blends at UM's Experimental BSFL System. Implement and evaluate arsenic
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of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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expanding team working on difficult and meaningful challenges together with clinicians. You get to work with multimodal nationwide Finnish health data from 7 million individuals including for example
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designs. Combining these classes raises issues around recyclability, interfacial adhesion, and mismatched thermal expansion that can induce stresses and affect lifetime performance. We invite a motivated
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” (leader Dr. Mateusz Urbańczyk) This project aims to create a new setup for low-field studies of complex reactions systems using our recently presented approach utilizing the synergy of interleaved Time
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At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and
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the Heureka decision support system to analyse how different forest management strategies affect biodiversity and the provision of ecosystem services, as well as how these interact with the development of wind
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of hybrid quantum–classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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employment decision is made. The ability to express yourself in English, as we work in an international environment. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within