307 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers in United States
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and can be customized to meet participants' individual learning goals. Participants manage patients with a wide variety of infectious diseases on both an inpatient and an ambulatory basis. St. Jude
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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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of computational tools including Artificial Intelligence (AI) and Machine Learning (ML) in virtual screening, small molecule design and optimization is preferred. Set up the chemistry strategy for projects 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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proficiency in MS software and end-user proficiency in CMMS software. Working knowledge with computer maintenance management systems (CMMS)s, preferred. Working knowledge of building automation systems (BAS)s
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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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for sickle cell disease and CAR T-Cell therapy applications. The HAL is composed of two sections, the Quality Control Section providing product analysis by flow cytometry, product quality testing for sterility
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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