60 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers in United Kingdom
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the laboratory of Dr Ramanujan Hegde at the MRC Laboratory of Molecular Biology (LMB). To work on one of two projects within a programme aimed at understanding the molecular mechanisms of protein maturation
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technology and infrastructure projects. IT Systems: Strong knowledge of laboratory information management systems (LIMS), data storage, cloud computing, and networking within a scientific environment. Problem
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interdisciplinary innovation. About the role This Computational Biologist position focuses on reproductive biology and genome function. The main goal of the project is to analyse and integrate multimodal genome-wide
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interdisciplinary innovation. About the role A talented and self-motivated postdoctoral researcher is required to employ a range of computational approaches to analyse and integrate single-cell and spatial multiomic
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privilege days & 8 bank holidays), family friendly policies (6 months full pay maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and
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holidays), family friendly policies (6 months full pay maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a
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), family friendly policies (6 months full pay maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a salary
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maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a salary sacrifice cycle to work scheme. Please follow
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Traka in the Food & Nutrition National Bioscience Research Infrastructure programme at Quadram Institute Bioscience (QIB), based in Norwich, UK. Background: We're seeking a talented Research Scientist to
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to therapy. Our research integrates patient data, experimental models, and computational approaches to understand how tumours evolve, evade, and respond, with the ultimate goal of improving cancer outcomes. We