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application will receive fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer
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collaboration with the team. Your profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and
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. Under the supervision of Luke Johnson, PhD and Jerrold Vitek, MD PhD, the associate will work collaboratively within the NMRC on an existing project supporting the collection and analysis of large-scale
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modelling. About You Applicants should possess or be close to obtaining a PhD in physics, chemistry, materials science or engineering. They should be highly versed in materials synthesis and characterisation
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are especially interested in candidates with a PhD in Materials Science, Chemistry, Physics, Chemical Engineering, or a related field, and with a solid experimental background in organic semiconductors, polymer
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Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning. Contribute to study design, scientific strategy, and interdisciplinary research planning. Work
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origin mapping, translocation-capture sequencing and 3D genome architectural analyses, supported by our established in-house computational pipelines. Interested candidates should hold a PhD, or be close
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19 Sep 2026 Job Information Organisation/Company CNRS Department Institut de Science des Matériaux de Mulhouse Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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in leading journals and conferences. Support the supervision of MSc and PhD students. We welcome applicants with a PhD in Electrical Engineering, Computer Science, Scientific Computing, Computational