1,559 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers
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technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators
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-threatening diseases. Technology Development & Industry Engagement (TDIE) brings together experts from both industry and academia, united by a shared passion for advancing science and innovation at St. Jude
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and data-driven developer tooling. More precisely: The candidate should hold a Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Computational Linguistics, Data Science
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The Division of Plant Science and Technology (DPST) in the College of Agriculture, Food and Natural Resources (CAFNR) at the University of Missouri (MU), a land-grant institution, invites
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Benoît Miramond, benoit.miramond@univ-cotedazur.fr Université Côte d’Azur / LEAT, Sophia-Antipolis, France The laboratory: Benoît Miramond is Full Professor in Electrical Engineering at LEAT
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exceptional record of basic research in cardiometabolism, and a plan to establish an independent, extramurally funding research program that studies cardiometabolism. The ideal research program will be
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on major national tasks around synthetic and engineered cells, leading the CAS Strategic Research Program (Category B) and the National Natural Science Foundation of China's Basic Science Center Project
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
The Opportunity: We are seeking a highly motivated and experienced Computational Analyst / Bioinformatician / Staff Scientist (AC-TAP) to be a cornerstone and formative member of a new
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our publications here . Our team is at the forefront of bringing autologous cell replacement therapies with CRISPR-edited muscle stem cells towards the clinic (https://www.mdc-berlin.de/news/news/deep
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the Centre, enables collaborations in data analysis, computational modelling, machine learning and theory. SWC also benefits from interaction with the wider UCL Neuroscience community, which brings together