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Impacts (IFAECI, IRL 3351 CNRS–IRD–CONICET–UBA) in Buenos Aires. IFAECI is an international research unit dedicated to climate–environment interactions in South America, bringing together the expertise
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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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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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Postdoctoral researcher in the analysis of single-cell and spatial transcriptomics experiments (M/F)
University of Strasbourg. The selected candidate will work at the IGBMC and benefit from an exceptional international scientific environment. The IGBMC has around 40 teams divided into four scientific
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molecular signatures and potential therapeutic targets We are looking for a highly motivated and enthusiastic candidate with interest in neurovirology. Ideal applicants hold: A PhD in cell and molecular
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engineeringYears of Research Experience1 - 4 Additional Information Eligibility criteria PhD in biogeochemistry, geosciences, soil sciences, ecology or related fields Strong motivation to develop innovative
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
interface between quantum information and cryptography. The team is part of a strong academic environment within the broader Paris ecosystem for quantum science. This position will be funded by the “Bosonic
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. Motivated and enthusiastic PhD chemist with 0-2 years post-PhD experience, a main background in supramolecular chemistry and a keen interest in chemical biology. You will be involved in the synthesis
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dinoflagellate holobiont with a specific focus on fungi. This is part of an ongoing project that already provides preliminary results published in Environ. Microbiol. 2023, 25, 250-267, (doi: 10.1111/1462
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. Applicants should hold a PhD degree in Earth sciences, atmospheric sciences, physics, or similar fields, with: (i) a background in dust processes and lifecycle; (ii) experience in computer programing (Python