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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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. Ability to work independently but also as part of a larger interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI
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hearing and deafness. Qualifications A PhD in molecular biology, genetics, epigenetics or related fields is required Two years of postdoctoral experience in these scientific fields is strongly preferred
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ICR groups. There will be a possibility to collaborate with local spin-offs. For further information, you can contact Dr. Réka Markovich () and Prof. Leon van der Torre (). Your profile A PhD in
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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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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Curriculum vitae Writing sample: either a published journal article or an excerpt from PhD/unpublished draft paper (in which case no longer than 8000 words) Copies of diplomas Names and contact details of two
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at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis, particularly in the context
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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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. 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