232 algorithm-development-"The-University-of-Edinburgh" positions at Columbia University
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Development (VP&S OOD), a part of the Columbia University Irving Medical Center (CUIMC), is dedicated to facilitating relationships that support the vision and mission of CUIMC and VP&S: to transform health by
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Development (VP&S OOD), a part of the Columbia University Irving Medical Center (CUIMC), is dedicated to facilitating relationships that support the vision and mission of CUIMC and VP&S: to transform health by
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Development (VP&S OOD), a part of the Columbia University Irving Medical Center (CUIMC), is dedicated to facilitating relationships that support the vision and mission of CUIMC and VP&S: to transform health by
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reasonable estimate of the range of possible compensation at the time of posting. Position Summary Reporting to the Director of Strategic Planning, the Senior Associate Director, Prospect Development is
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Relations and Stewardship, the Associate Director, Board Relations and Executive Support is responsible for supporting the administrative needs of the Vice Dean, Development and Alumni Relations (DAR
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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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) 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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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