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. It employs approximately 330 people, including 190 permanent staff members (researchers, lecturers, engineers) and approximately 140 doctoral students, postdoctoral fellows, and staff members on fixed
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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LevelPhD or equivalent Skills/Qualifications DOCTOR EN BIOMEDICINE Specific Requirements A master’s degree related with biomedical research will be positively considered. Postdoctoral experience over five
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around 30 doctoral and postdoctoral students. The position is in a sector subject to the protection of scientific and technical potential (PPST) and therefore, in accordance with regulations, requires your
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method such as ReCiPe 2016 alongside the UCrad model for radiological effects. This work will significantly contribute to developing a holistic perspective on SMR waste management and informing technology
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behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design a public transport network that includes both traditional fixed lines and flexible on-demand services, while
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: 1st Jan 2026 or when agreed Description: The emerging ‘Synthetic Cell Programming’ lab, led by Dr. Santos-Moreno (santosmorenolab.org ), is seeking for a highly-motivated postdoctoral researcher
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Part-Time Suitability: The position is
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and a postdoctoral fellow to develop vegetation layers and parameterise the fire model for LANDIS-II. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5554-AHMALI-002/Candidater.aspx
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Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty members working on a broad variety of deep learning, computer vision, and foundation model subjects, like self-supervised