52 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Nature Careers in Worldwide
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; Possess extensive experience in teaching, student supervision, and securing research project funding; Demonstrate the ability to establish a distinguished research programme aligned with the University's
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; Demonstrate the ability to establish a distinguished research programme aligned with the University's strategic research areas; Commit to delivering high-quality teaching and supervision to a diverse student
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academic leadership; Possess extensive experience in teaching, student supervision, and securing research project funding; Demonstrate the ability to establish a distinguished research programme aligned with
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academic leadership; Possess extensive experience in teaching, student supervision, and securing research project funding; Demonstrate the ability to establish a distinguished research programme aligned with
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excellent fringe benefits and research support: Competitive remuneration and attractive fringe benefits; Various government-sponsored talent programmes (for eligible candidates); Access to top-quality
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talent programmes (for eligible candidates); Access to top-quality research equipment and support; Start-up research funding; Abundant local industry resources for collaborative horizontal projects
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, including excellent fringe benefits and research support: Competitive remuneration and attractive fringe benefits; Various government-sponsored talent programmes (for eligible candidates); Access to top
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government-sponsored talent programmes (for eligible candidates); Access to top-quality research equipment and support; Start-up research funding; Abundant local industry resources for collaborative horizontal
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attractive fringe benefits; Various government-sponsored talent programmes (for eligible candidates); Access to top-quality research equipment and support; Start-up research funding; Abundant local industry
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems