79 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Nature Careers in United Kingdom
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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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, 10 November 2025 Reference: 3236025FP Research Fellows in E-Textiles We are seeking highly motivated post-doctoral researchers of high calibre to join our research programme, working in the area of
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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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excellence, honesty, openness, accountability and integrity Position outline We have an exciting opportunity to join an advanced technology group in the institute, focussing on Single Cell & Next Generation
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Fellowship Enhancement Award and funding for a full-time PhD studentship. For further information please visit: https://www.qub.ac.uk/Research/fellowships-at-queens/fellowship-academy/illuminate-fellowship
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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