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microbiology, bacterial genetics, CRISPRi approaches, and bioinformatics analyses to identify the molecular and genetic determinants underlying strain-to-strain differences in stress responses. In particular
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the experimental and bioinformatics analysis components—is essential. Proficiency in classical genomics techniques (RNA-seq, ChIP-seq, etc.) Proficiency in mouse ES cell culture and in vitro differentiation
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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statistical / machine learning methods, pathway/network analysis or artificial intelligence approaches. Other requirements: The candidate should have a PhD or equivalent degree in bioinformatics, artificial
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a PhD in neuroscience and an interest in neurodegenerative diseases and/or genomics/bioinformatics. Excellent communication and organizational skills would be appreciated. The Moyon lab opened in June
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PhD in biology, cognitive sciences, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing
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PhD in Computational Virology, Computer Science or other related field. Awarded the PhD before the start of this appointment (no previous postdoctoral experience required). ✅Required Skills Familiarity
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pre-clinical settings. The successful candidate is expected to have: Project leadership, drive and dynamism. A PhD level, preferably without former postdoctoral experience or other with substantial
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/candidatOffres/show/id_offre/139715 Requirements Specific Requirements Applicants should hold a PhD in a relevant life-sciences discipline. Applications are particularly welcome from candidates with strong