39 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Stanford-University" positions at Nature Careers in United Kingdom
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Data Scientist/Senior Data Scientist - P Znamenskiy lab Reporting to: Petr Znamenskiy, Group Leader (The Francis Crick Institute) Contact term: This is a full-time, fixed term (3-year) position
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial
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research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. For more information on the Franklin’s Challenges click here . The Role We are seeking a highly
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central to shaping a newly established and rapidly scaling Plant Biology Institute with the ambition to become a global leader in plant phenotyping and data-driven plant science. The successful candidate
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of emerging methods in metabolic analysis, metabolic modelling, machine learning, and data-driven biology, identifying opportunities to apply new tools to accelerate discovery. Work closely with experimental
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, to generate crucial information revealing the cellular roles, functions and underlying mechanisms by which MICL regulates immunity. The focus of this work will be to elucidate the components of MICL involved in
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of what’s possible. Founded to commercialise research generated over the last decade at the Cavendish Laboratory, Nu Quantum is on a mission to shape the future of quantum information systems. We’re working
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candidate will: Demonstrate experience in biological and clinical data analysis and across a range of NGS applications. Demonstrate experience in generative AI tools and advanced bioinformatics pipelines