391 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United States
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driven, to allow researchers to focus on data intensive tasks. What we provide: An opportunity to broaden research experience in a collaborative environment. A team that believes in continuous learning and
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collaborative environment. A team that believes in continuous learning and cultivates an environment of collaboration. Collaboration with research labs and other shared resources, including Molecular Genomics
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collaborative environment. A team that believes in continuous learning and cultivates an environment of collaboration. Once trained, flexible schedule What you’ll do: Operate equipment in the cagewash facility
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are targeting someone who has a strong proven track record in computational biology, is adept at computer programming, has a strong command of statistical data analysis and data visualization, who will work as a
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machine learning methods are a plus. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated hands-on experience with 2-photon imaging techniques Experience
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information, military service, or other protected status.
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beginning Fall 2026. This is a three-year, multi-year appointment with responsibilities in teaching. Responsibilities: Teach Introductory Neuroscience with laboratory and intermediate- and upper-level courses
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team, your expertise in AI and other cognitive computing methodologies, such as but not limited to machine learning (ML), large language models (LLMs), small language models (SLMs), natural
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cancer. As such, it is critical that pediatric hematology/oncology practitioners understand and learn how to incorporate recent exciting yet complex discoveries surrounding germline genomics into the daily
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a professional development allowance, research allowance, a personal computer for use during the fellowship, tuition assistance, dependent care assistance, moving allowance, an employer-contributed