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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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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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CNRS and University of Rouen Normandy | Mont Saint Aignan, Haute Normandie | France | about 6 hours ago
the formation of radical intermediates. The postdoctoral fellow will be in charge of the experimental work, analysis (NMR, HRMS, HPLC…), the writing of scientific reports, and will supervise in the lab area PhD
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(researchers, teacher-researchers, engineers, technicians and administrative staff) and about 140 PhD students, postdocs and fixed-term contract staff. Each year, the laboratory hosts about 120 interns and
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- Conduct remote sensing analyses and spatial modeling of grassland ecosystems - Supervise water sampling and organize field logistics in collaboration with students and partners - Integrate ecological data
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 12 days ago
to contribute to other ongoing activities of the QAT team: https://qat.inria.fr/projects The postdoc will also be involved in the supervision of interns and PhD students. While there is no teaching requirement
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researchers, PhD students, engineers and technicians in a multicultural and international environment. The candidate will join the group of Malene R. Jensen, which specializes in understanding the role
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colour centre spins. Your work supporting and further develops the fabrication of these chips, i.e. together with 1-2 PhD students, you will work on the sample process line involving several cleaning steps
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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in
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Work Package 4 that aims to integrate heterogeneous data acquired through Work-packages 1 to 3 and decipher genome–phenome relationships, working in close collaboration with a PhD student working on