655 structural-engineering-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Nature Careers
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At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers
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At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers
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cancer research, educates the next generation of translationally oriented scientists, and establishes high-performance structures to facilitate the transfer of research findings into clinical cancer
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, PhD's research team in the field of cellular and molecular neuro- and vascular pharmacology. You will be involved in a clearly structured PhD project and work independently on scientific questions
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: Bachelor's degree in medical technology/medical lab science or in one of the biological, chemical, or physical sciences and completion of a medical laboratory technologist training program required. Master's
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a computational technology innovator to develop next generation omics platforms for pediatric biology and diseases. Areas of interest include RNA biology (splicing/fusions), CRISPR functional genomics
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discovery programs. Your key responsibilities will be to: design and execute wet‑lab experiments supporting neurological therapeutic development perform molecular biology and cloning, including construction
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range of disciplines including mathematics, the sciences (physics, chemistry, biology, material science, engineering), and computer science, with an emphasis on the theoretical foundation of machine
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these efforts, this role advances the integration of data and technology to enhance diagnostic quality, operational performance, and clinician effectiveness across the pathology domain. The Pathology Clinical
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Keywords: theoretical biophysics, machine learning, kinematics, (structural) biology. Context. Machine learning techniques have made significant progress in prediction of favourable structures from