916 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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research, research data management and data quality control Demonstrable computer programming skills are essential, with good knowledge of CLI and Python/R Proven experience using REDCap for the design
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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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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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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a professional development allowance, research allowance, a personal computer for use during the fellowship, tuition assistance, dependent care assistance, moving allowance, an employer-contributed
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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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of technology which integrates robotics, computer vision, and data infrastructure to enable scalable, reproducible and data rich transformation platforms, supporting the team with subject matter expertise
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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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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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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include