203 computer-algorithm-"The-University-of-Edinburgh" positions at Columbia University
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the Freedom & Citizenship Program in the Center for American Studies. Since 2009, Freedom & Citizenship has provided low-income, first-generation college-bound New York City high school students with
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Irving Medical Center - Kidney/Pancreas Transplant Program Columbia University’s Department of Medicine, Division of Nephrology, invites applications for Instructor level position in the Kidney/Pancreas
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Position Summary The Department of Epidemiology at the Columbia University Mailman School of Public Health seeks a Program Manager to assist in the coordination and management of a large multi-center multi
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of Assessment Program Senior Data Analyst. Columbia University Libraries is a globally-recognized academic research library, serving one of the world's most important centers of research and learning
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Department of Medicine, Division of Nephrology, invites applications for Instructor level position in the Kidney/Pancreas Transplant Program for a one year Transplant Nephrology Fellowship. The Kidney/Pancreas
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) disseminate results through quality publications and open-source algorithms and software. Qualifications: Ph.D. in Computer Science/Engineering, Biomedical or Electronic Engineering, Data Science, Biostatistics
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involves a deep dive into biological systems using computational techniques. The candidate will help design and implement algorithms to analyze complex biological data (like high-throughput sequencing data
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. Responsibilities Analysis of activations maps in mouse brains, primarily using R free-source library. Develop computer codes, primarily using ImageJ and Python, to implement algorithms for characterizing brain maps
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-physiology and the development and application of remote sensing algorithms is highly essential. The candidate should be proficient in working with data from a range of satellite sensors, with particular
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on the use of Machine Learning algorithms for rapid damage assessment. Research topics could focus on: the definition and use of novel damage sensitive features, physics informed machine learning, transfer