936 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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on understanding metabolism, cancer, and aging. More information about the lab and their work can be found by visiting https://bidmc.theopenscholar.com/kajimuralab/ About the role: As the Laboratory
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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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the synaptic wiring diagram, or connectome, of whole brains, designing, building and using machine learning approaches to computer vision as applied to volume electron microscopy of whole brains. The ideal
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of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world
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successful completion of a contract. Further information about the Department is available at https://physics.hkust.edu.hk/ . Application Procedure Applicants should submit their application including CV
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research groups within CCB (Learn more: Bioinformatics & AI ). Your Role We are seeking a skilled computational biologist to organize and deliver training on bioinformatics and AI for the CCB research
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Institute at VTC (FBRI - https://fbri.vtc.vt.edu/ ) for a tenured or tenure-track faculty position at the associate or full professor level. The research institute supports entrepreneurial activity through
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to grant submissions and publication outputs. You will relish the opportunity to interact with the other biomarker teams in the NBC (https://cruknbc.org/ ), to collaborate with investigators at the CRUK
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their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? As part of LIST’s SUSTAIN unit (Environmental Sustainability
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at University of Cambridge. There will be ample opportunity to learn new techniques and refine existing ones. The ideal candidate should have a PhD in a relevant subject (or due to complete a PhD within 6 months