405 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Nature Careers
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activities to promote SnT's research and citizen science initiatives Your profile... A Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or a related fieldA strong background in
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NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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RIKEN is currently accepting applications for the FY 2027 Special Postdoctoral Researcher (SPDR) Program, from young, creative, independent researchers who will be a powerful force in furthering
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analysis of next-generation sequencing datasets, such as ChIP-seq, RNA-seq, ATAC-seq Experience in computer programming languages, such as R, Python Experience in quantitative mass spectrometry for analyzing
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Job Description St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32
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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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This is an exciting opportunity for a Researcher to join our Center for Advanced Genome Engineering (CAGE). The CAGE has three missions: 1. Facilitate investigator-initiated genome editing projects
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum