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research and soft robotics development. PhD project The PhD project will focus on the technical aspects of simulating the physics of the Drosophila larva body. The primary objectives include: Developing a
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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to obtain funding for PhD students. In parallel, applications to FRM and/or Pasteur-MD-PhD-PPU program will be also encouraged. Opportunities for Interdisciplinary Training: Depending on the candidate’s
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laboratory and collaborative meetings. Collaborate actively with scientists performing wet bench experiments (PhD, postdocs). Interact productively with other bioinformatic engineers or researchers on Institut
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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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. 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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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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highly motivated candidate with a PhD in genomics, molecular evolution, microbiology, bioinformatics, or a related field. The candidate should have expertise in microbial genomics. He/she should be
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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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performing wet bench experiments (PhD, postdocs). Interact productively with other bioinformatic engineers or researchers on Institut Pasteur campus. Formalize results for publications and participate in