61 chalmers-university-of-technology-material-engineering-phd-polymer-composite PhD positions in France
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- CNRS
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Organizing meetings and workshops to promote awareness and advocacy Your profile Master's degree (or soon-to-obtain) in Psychology, Cognitive Science, or Education A track record of interest in technology
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Research FieldPhysicsYears of Research ExperienceNone Additional Information Additional comments The candidate must hold an engineering degree and/or a master's degree in Materials Science. The position
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RESEARCH REQUIREMENTS Master in research or engineering school with specialization in physics, optics or materials science. Knowledge of solid-state physics, non-linear optics and/or physical deposition
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Description of the offer : Spin triangles are magnetic molecules predicted to display spin chirality, magnetoelectricity and protected quantum degrees of freedom. These characteristics could allow electric spin control and long spin coherence properties. In the past we have confirmed the...
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/Qualifications University Master’s degree in materials chemistry, nanoparticles or catalysis Specific Requirements Characterization of advanced materials LanguagesENGLISHLevelExcellent Research FieldChemistry
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their neural implementation. Profile of the Expected Candidate We are seeking a highly motivated and qualified candidate with the following profile: Master’s degree in Computer Science, Engineering, Physics
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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13 Mar 2025 Job Information Organisation/Company INPHYNI Research Field Engineering » Materials engineering Physics » Optics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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study and other ongoing translational initiatives to develop a voice-based digital health solution to alleviate the diabetes burden. Project objective The PhD candidate will work at the interface
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data