264 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Columbia University
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Beloborodov, Kishalay De, Yuri Levin, Brian Metzger and Lorenzo Sironi. More information on THEA can be found at https://thea.astro.columbia.edu . This position will have access to high-performance
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at all levels. Strong analytical and tenacious problem-solving skills necessary Excellent computer skills including thorough knowledge of Microsoft Office, including knowledge of databases and advanced
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: https://labs.vagelos.columbia.edu/hengstlab/ Responsibilities: · Will be leading an NIH-funded project that focuses on structure-function studies of Sorl1 · Designing, setting up, validating
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the Columbia Stem Cell Initiative (https://www.stemcell.columbia.edu ). This is an outstanding opportunity to work with investigators in leading radiation biology and stem cell laboratories. Minimum Degree
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centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes
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math, biomedical engineering, physics, or related discipline. Proficiency in programming and data science tools (Python, R, C++, or equivalent). Strong statistical and machine learning background, with
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detailed documentation. • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.). • Perform statistical analysis, including regression analysis and machine learning techniques
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assistant role required; Excellent oral, interpersonal, research, writing and presentation skills required; Demonstrated computer proficiency with MS Office necessary; Must be fluent in the statistical
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instrumentation, quality control/assurance, maintenance and troubleshooting of instruments, enforcing regulatory compliance, computer-related duties, and training of residents and new personnel. Schedule
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distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link