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PhD student (M/F) in Polymer Chemistry: Synthesis of cross-linkable, degradable and recyclable latex
physical chemistry (ED182), which is co-accredited between Unistra and UHA. The doctoral student will be supervised by a teacher-researcher (Dr. A. Chemtob) and a research engineer (Dr. C. Le). The PhD
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3 Sep 2025 Job Information Organisation/Company CNRS Department Institut Charles Sadron Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 23 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours...
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an internationally recognized research team at LAAS-CNRS in Toulouse, focused on developing autonomous mobile machines that integrate perception, reasoning, learning, action, and reaction capabilities
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, organization and structural order, as well as the EE transport dimensionality (2D versus 3D) to push beyond state-of-the-art energy transport lengths in synthetic LH systems. In this context we propose a PhD
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2 Sep 2025 Job Information Organisation/Company CNRS Department Institut de Recherche sur les Phénomènes Hors Equilibre Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 22 Sep 2025 - 23:59 (UTC) Type of...
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2 Sep 2025 Job Information Organisation/Company CNRS Department Écologie, systématique et évolution Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 22 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per...
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The PhD work will take place in the framework of the ANR funded HENBoS project (2025 – 2029), which seeks to describe with unprecedented accuracy and scope massive black hole systems as cosmic accelerators
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, IRCELYON's activities focus on sustainable development with major concerns for energy, environment and green chemistry. The PhD student will work in the C'Durable team: https://www.ircelyon.univ-lyon1.fr/team
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. They present a strong spin-orbit coupling, a relatively long spin relaxation times, and an optical accessibly for spin generation and detection. The objective of the PhD is to explore the exciton and spin
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by exploiting foundational machine-learning potentials such as MACE, SevenNet, or Orb-V3. The predictions will then be progressively refined and verified by DFT and, ultimately, tested experimentally