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to interpret AI-based findings and translate models into clinically actionable tools for early diagnosis, risk prediction, and patient stratification. Develop and execute the scientific components
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processes and their associated mass transfer phenomena without and with chemical reaction. Demonstrated understanding of and/or practical or modelling experience with liquid absorbent-based CO2-capture
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The University of Stavanger invites applicants for a PhD Fellowship in Agentic AI for Clinical Decision Support at the Faculty of Science and Technology, Department of Electrical Engineering and
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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in Agentic AI for Clinical Decision Support Apply for this job See advertisement Job description The University
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presentations) and ability to conduct independent research. Ability to carry out research in complex networks, dynamical systems, agent-based modelling, social network analysis, data science, or related areas
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Activity of CD8(+) T Cells. J Am Chem Soc.145(23) (2023) 12701-16. Research focus We aim to map T-cell interaction landscapes in complex immune microenvironments, understand how therapeutic agents act from
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learning, including designing, developing and evaluating systems and models to enhance learning through AI technology. The Postdoc fellow will engage with developing AI-agents, models, frameworks and
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; The prototype will analyze the student's interactions with the study material and based on this analysis, the agent can, for example, present the same information in different formats, or adjust the level of
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with NERSC staff, domain scientists, and partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do: Contribute to one or more NESAP AI-based scientific
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templates for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q