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6 Jul 2026 Job Information Organisation/Company European Molecular Biology Laboratories Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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optimisation; uncertainty and sensitivity analysis; and machine learning or AI-supported optimisation. Strong analytical and programming skills are essential. Relevant experience may include tools and languages
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Materials Design - Develop and apply machine learning and AI models (e.g., ML interatomic potentials, generative design, reinforcement learning) to predict and design materials. - Perform first-principles and
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Data Analytics, including but not limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks
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, service, and community-building (up to 10% of effort) Submit an annual progress report Follow all guidelines and requirements for postdocs at Yale Qualifications PhD degree or equivalent must be awarded by
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expect to hire 2-4 postdocs through this search. Postdocs will have offices in the Center for Possible Minds, where they will be joined by visiting fellows and faculty. Fellows are expected to pursue
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and other members of the lab on a regular basis. Additionally, postdocs will prepare presentations or posters to discuss results in department-wide seminars and at scientific conferences or workshops
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, Physics, Computer Science, or a related discipline. Demonstrated research experience in computational chemistry, atomistic simulations, machine learning, or artificial intelligence for materials and
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scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning
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. ISO 13485, ISO 14971, IEC 60601, UK MDR) is desirable, as well as experience of applying signal processing or machine learning methods to physiological or sensor data. Application details: Applications