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Description The Laboratoire de Psychologie Sociale et Cognitive (Laboratory of Social and Cognitive Psychology, LAPSCO–UMR UCA-CNRS 6024) is offering a postdoctoral position for 12 months to work on inclusive
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that are used by thousands of scientists each year for experiments in diverse fields such as biology, medicine, environmental sciences, cultural heritage, materials science, and physics. Supported by 21 countries
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Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate will have a PhD in materials science and experience of nanoparticle synthesis and
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Post-Doc- Combinatorial deposition of functional thin films by Spatial Atomic Layer Deposition (M/F)
Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly-motivated postdoctoral
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techniques, uses, and circulations of wild silks from museum pieces and contemporary material cultures. It gathers an interdisciplinary team relying on history, social anthropology, biology, physical and
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the job funded through the EU Research Framework Programme? H2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description A postdoctoral position is available
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physicist or chemist postdoctoral researcher with a specialization in materials science. Experience in the growth of spinels in thin films and in the structural, optical, and electrical characterization
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Eligibility criteria Interested candidates should have a recent PhD diploma, with solid experience in electrochemistry, materials and batteries. Prior experience in process engineering or in using pilot lines
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the exact start date. How to apply? Applicants are requested to submit the following materials: A cover letter applying for the position A full CV and list of publications Academic transcripts (unofficial
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Postdoctoral position (M/F): Machine learning design of alloys for concentrated solar energy storage
Experience1 - 4 Additional Information Eligibility criteria Knowledge of materials science, thermodynamics, metallurgy Skills in artificial intelligence, modeling, thermodynamic calculations Scientific