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areas of nanoscience and nanotechnology. Job title: Postdoctoral Researcher in Artificial Intelligence for Materials Discovery Research area or group: Artificial Intelligence Platform and Inorganic
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. Mathematical or computational models, including artificial intelligence-based approaches, that make use of such information flows and address uncertainty and complexity in relation to food safety risk assessment
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ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr....
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=50415 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Advanced skills in Machine Learning and Artificial Intelligence Proficiency in spoken and written English
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. This program offers a rare opportunity to combine methodological independence in artificial intelligence and biology with direct access to real-world clinical and translational research data, addressing global
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of the group is focused on the application of artificial intelligence principles and the incorporation of intelligent systems and biomedical engineering in health management and development of innovative medical
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MAIAMI project (Plataforma Multimodal de Inteligencia Artificial para la Innovación Acelerada de Materiales), funded under the 2025 call “Proyectos de Investigación en el Ámbito de la Inteligencia
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to artificial gauge fields constitute an ideal platform for exploring this physics due to their well-defined microscopic theoretical description, and pristine and highly controllable experimental realization
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12 Mar 2026 Job Information Organisation/Company Universidad Pontificia Comillas Department Vicerrectorado de Profesorado, Investigación e Inteligencia Artificial Research Field Sociology Researcher
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Requirements Experience in machine learning or artificial intelligence applied to biomedical data Experience in integrating clinical, molecular and imaging data for translational research Publications in high