916 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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that promote and maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced
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or plasmapheresis machines Experience in a blood donor center or plasma center Job Responsibilities: Collaborate with internal/ external teams to coordinate and execute assigned tasks (e.g., processing, evaluation
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or plasmapheresis machines Experience in a blood donor center or plasma center Job Responsibilities: Independently perform and report pre-analytic and post-analytic activities for waived testing. Resolve donor
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holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a
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, biobanks, electronic health records); A sound understanding of Statistical and Machine Learning concepts, particularly in relation to genomics; Prior experience working with multiple data sources and
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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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The Chief Architect of Centre of Excellence(CoE) for Robotics and Embodied AI will lead DSU’s efforts to build intelligent humanoid and autonomous robotic systems powered by large-scale learning and
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trouble shooting. Support researchers training on best practices for data management and open science. Socialize research support services to scientists of diverse backgrounds. Perform outreach, teach
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Senior Bioinformatics Research Scientist - Northcott Lab in the Center of Excellence in Neuro-Oncolo
, epigenomics, single-cell, spatial 'omics, machine learning, and artificial intelligence. Experience in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference