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» Biology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions Other Positions Application Deadline 31 Dec 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CRSA - Postdoctoral research fellowship: “Developing Advanced Weather Prediction Models for Agricultural
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a talented and responsible
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: https://www.ntu.edu.sg/ase We are seeking a highly motivated Research Fellow to join a research group led by Asst Prof Zeng Yiwen. The successful candidate will work on a multidisciplinary biodiversity
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of Engineering, Design & Physical Sciences Department Department of Computer Science Full Time / Part Time Full Time Position Title: Research Fellow: AI for Molecular Modelling – 16961 Department/College
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investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https
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on understanding high-level semantic concepts, behavioural patterns, product usage, and skincare routines through advanced Vision AI, Multimodal AI, and Foundation Models. The successful candidate will work closely
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to regulatory agencies, investors, pharma companies etc. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Develop models
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven