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topics: Contribute to the HEXAPIC project Carry out research in the predefined areas Disseminate results in top scientific venues Providing guidance to PhD and MSc students Participating in proposal
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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at Saclay (20 km South of Paris). ABOUT YOU ! You are graduated from a PhD ? You are specialized in Energy Economics ? You have at least minimum 1 to 2 years of experience in setting up and analysing
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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. Candidates must hold a PhD in genetics or virology. One first author publication is mandatory. The project will be carried out in the Mouse Genetics Laboratory, affiliated to the Genomes and Genetics and to
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maximum 8 years after a doctoral degree (PhD), as required by the project Grant Agreement signed with the European Commission, at least one original publication in a peer-reviewed journal, a background in
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SLICES-FR research infrastructure- Communicate results through presentations, conference papers, and project reportsProfile and skillsThe R&D Engineer must already hold a PhD degree in Computer
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have a PhD in biochemistry or structural biology. The applicant should have a strong experience in cryo-EM or crystallography AND/OR in eukaryotic or membrane protein biochemistry. The applicant should
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Curriculum vitae Writing sample: either a published journal article or an excerpt from PhD/unpublished draft paper (in which case no longer than 8000 words) Copies of diplomas Names and contact details of two
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for competitive fellowships during their first year with us. The ideal candidate will be recruited by summer 2025. We are particularly seeking postdoc candidates who have recently completed their PhD with a