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Field
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scientific environment to carry out research. The ideal candidate should have a PhD in neuroscience, cell biology, molecular biology or a related discipline with experience in experimental approaches using
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/139860 Requirements Specific Requirements 2.3 Candidate Profile Applicants should hold a PhD in Thermal Sciences, Energy, Fluid Mechanics, or a closely related discipline. The ideal candidate should
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, PhD students, postdoctoral researchers, and contract staff. Their research focuses on materials and their mechanisms of action for energy applications, with expertise in materials chemistry and physico
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | about 2 months ago
profile # Completed PhD in Physics, Chemistry, Materials Science, Engineering, or a related field # Substantial experience with synchrotron-based experiments (proven by relevant publications as a first
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31 Jul 2026 Job Information Organisation/Company CNRS Department Institut de Recherches sur la Catalyse et l'Environnement de Lyon Research Field Chemistry Physics Researcher Profile Recognised
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at the weekly seminars. Present results internally and at international venues; Qualifications PhD in Applied Mathematics or Computer Science (at the time of appointment), with strong research record in privacy
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PhD in biology, cognitive sciences, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing
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function. The successful candidate will work in an interdisciplinary environment combining molecular biology, cell biology, protein biochemistry, quantitative biophysics, and computational biology. A
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Quanteca team at Institut Néel is looking for a
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, and computational social sciences, thanks to its CorText platform for analysing digital and textual data. The successful candidate will join the team of researchers participating in PEPR TRANSFORM