397 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Nature Careers
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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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at the interface of hardware and software for world-leading observatories, and collaborate with international teams of scientists and engineers - then welcome to the team! Our ground-based astronomical
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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building the foundations of the next wave of innovation in pathology. We are seeking candidates that could be successful in many environments, including top-tier academic laboratories and leading technology
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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 fertilisers
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/ Computer Science, Mechatronics / Mechanical or Electrical Engineering, or related fields in Engineering, Computer Engineering or Applied Mathematics Programming Skills: Programming Experience with Python, C/C++, ROS
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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degree in Electrical Engineering, Telecommunications Engineering, Computer Science, or a closely related field Strong background in digital signal processing and mathematics, demonstrated through academic
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, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python, is
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. However, progress is constrained by the scarcity of high-quality, well-characterized in vitro T-cell immunogenicity data. In this project, we will leverage expertise and technology in peptide T-cell