976 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers
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computing and advanced technology, driven by innovation, diversity, and a commitment to excellence. We’re creating an environment where brilliant minds from all backgrounds collaborate to push the boundaries
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. This newly created position is part of the departmental strategic plan to grow pharmacogenomic research at St. Jude within the next 5 years. With substantial institutional commitment in resources and space
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Science Framework (OSF), AWS Public Data Registry, CodeOcean, DataLad, and Globus. Internal tools include data pipeline management tools developed in Scientific Computing Software. Guide and centralize
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the potential of running a world-recognized independent research program. In particular, IOP is making strong efforts to internationalize our faculty members from different culture and ethnic backgrounds. We
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the Administrative Services domain. Responsibilities: Serve as a strategic financial partner to senior leadership across assigned business groups. Lead development of the strategic and financial plan and direct
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University, Ningbo inherits the advantages from both and in return lends momentum to Ningbo’s overall development and Zhejiang University’s Double First Class plan.
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Professional Strengths: Ability to manage multiple projects: Demonstrates strong capacity to plan and coordinate several initiatives simultaneously in a fast‑paced, deadline‑driven environment. Exceptional
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conducts world-class research across the full spectrum of biological disciplines – from molecular biology and biochemistry to ecology, biodiversity, and computational biology. The department hosts
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neuroimaging or behavioral studies, and strong communication skills. Additional expertise in computational neuroscience and data analysis, particularly using machine learning approaches, is highly desirable
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for the analysis of data within databases. Develop web services to query the database. Develop and implement computational and systems biology approaches for network and hidden driver analysis for genomic