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of multi-agent systems Control and containment: Developing steering techniques and safety measures to guide model behavior, including red-teaming and methods for intervention, guardrails, and safety
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but not limited to drug efficacy and safety prediction, mechanism-of-action inference, biomarker discovery, causal or network-based modeling of biological systems, and drug repurposing or design
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for high resolution imaging, developing computational models of islet blood flow changes; characterizing and applying novel ultrasound contrast agents including molecular targeted agents; and use of contrast
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30 Dec 2025 Job Information Organisation/Company Universidade de Coimbra Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application
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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 workflows targeting NERSC HPC resources, edge
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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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NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000
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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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) or cloud-based big-data pipelines. Experience with large-scale human genomic, omics, or brain imaging datasets. Strong programming skills in Python, R, or MATLAB, with emphasis on data analysis and AI model
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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