57 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Nature Careers in United Kingdom
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with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in
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to contribute to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic
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designed for impact: Contribute to planning and communicating the scientific direction of the advanced genome technology program which is aimed at changing the art of the possible in plant engineering
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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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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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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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or engineering backgrounds. What the Franklin PhD Programme Offers A unique research-focused environment, plus collaborations with leading universities and global companies Access to brand-new labs and industrial
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computing and advanced technology, driven by innovation, diversity, and a commitment to excellence. We’re creating an environment where brilliant minds from all backgrounds collaborate to push the boundaries
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of technology which integrates robotics, computer vision, and data infrastructure to enable scalable, reproducible and data rich transformation platforms, supporting the team with subject matter expertise