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Join the Oxford Martin Programme on Forecasting Technological Change at the University of Oxford, led by Dr François Lafond, Prof J. Doyne Farmer, and Prof Max Roser. This pioneering programme aims
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18 Nov 2025 Job Information Organisation/Company CNRS Department Plasticité du cerveau Research Field Neurosciences Biological sciences Researcher Profile First Stage Researcher (R1) Country France
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part of a team with other researchers and under the supervision of the professor in charge of the project. Additional skills in economics and/or computer science will be an advantage. Where to apply E
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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17 Nov 2025 Job Information Organisation/Company Fundació Hospital Universitari Vall d'Hebron- Institut de recerca Department Research Department Research Field Biological sciences » Biology
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experimental and computational (through plasma chemistry and reactor modelling) investigation of possible approaches to process complex organic waste streams with the aid of plasma high-temperature gasification
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12 Nov 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Engineering » Civil engineering Engineering
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris 15, le de France | France | 1 day ago
Expertise in Geographic Information Science (GIS), including proficiency with ArcGIS Pro General knowledge of urban geography Strong interest in the interactions between climate change and human health in
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-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
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. Previous experience in computational materials science and a track record of peer-reviewed publications are essential. A background in the modelling of photovoltaic materials would be highly beneficial