63 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Nature Careers in United Kingdom
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be found in UCL’s Strategic Plan 2022-2027 . We are seeking an exceptional Executive Dean to lead UCL’s Faculty of Mathematical & Physical Sciences – a world-class hub for the logical, experimental and
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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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Scientific Computing Officer Starting Salary £45,869 - £51,547 per annum pro rata Fixed term, 4 years MRC Laboratory of Molecular Biology, Cambridge, UK Applications are invited for the post of
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Programme Leader Track Salary: £63,665 - £76,868 plus London allowances (£5,560) per annum Full-time (36 hours) (Part-time applications welcome) Permanent London, UK The LMS is a vibrant biomedical
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy
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who want to develop and use Franklin technologies in novel, interdisciplinary research spanning our different scientific challenges . We welcome candidates from any scientific, maths, computing
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from either engineering, physics, computer science or medicine, with the life sciences. We welcome applicants with experience across diverse areas of biomedical imaging. You will integrate imaging
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, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics
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, stable isotope labelling techniques, and novel method development. Data analysis and computational work (35%). Effective use of data analysis software to process and analyse MS data, including statistical
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to deliver a specific research project within a team delivering a research program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing