153 phd-scholarship-in-computational-material-science Postdoctoral positions in France
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ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD in materials science (physics and chemistry) and materials characterization, nanomaterials
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additional projects. Is Your profile described below? Are you our future colleague? Apply now! Education · PhD degree in either physics, quantum technology, or materials science. Experience and skills
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of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD in materials science or inorganic chemistry. Prior experience in synthesis under inert atmosphere using
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Description of the offer : We are opening two positions in the field of “Metallic and Oxide Materials for Orbitronics and Magnonics” at Institut Néel, CNRS, Grenoble The first position (PhD
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calculation of NMR parameters. - Experience in experimental NMR. - Basic knowledge of electrochemistry, magnetic and electronic properties, and solid-state chemistry. - Proficiency in the necessary computer
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chemistry Chemistry » Computational chemistry Researcher Profile Recognised Researcher (R2) Country France Application Deadline 11 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours
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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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systems and research infrastructure. For further information, please contact Dr. Venkata SATAGOPAM (email address: ). Your profile A PhD in computer science, computational biology, bioinformatics
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that encompass a broad range of disciplines from material sciences and physico-chemistry to cell and molecular biology and clinical sciences within the same research laboratory constitutes an exciting and unique
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public engagement For further information about this position, please contact: Your profile PhD in History, Digital Humanities, Data Science, or a related field Demonstrated experience in interdisciplinary