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Field
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: 117895-en_US We are seeking a Sr. Radiomics and AI Engineer who will be responsible for developing and implementing algorithms and software that can analyze medical images and extract clinically relevant
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This position is ideally suited to someone wishing to transition from a post-doctorate career in academia to commercial software and algorithm development. You are not expected to be an AI expert
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education and experience Hiring Unit: School of Computer Science Course Title: Algorithm Design Subject Code: COMP 360 001 Location: McConnell Eng. Schedule: TR Deadline to Apply: 2025-06-13 McGill University
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Status: Nonexempt Work Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall
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, machine learning, and high-performance computing. Experience in leading the development of new math and algorithms for extracting rotational dynamics from correlation spectroscopy and reconstructing 3D
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data and analyzes outcomes. Performs research on current and future HPC, data, and CI technologies, hardware and software. Works on algorithm development, optimization, programming, computer
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. The focus will be on developing algorithms and techniques that optimize beamforming performance to enhance signal acquisition, tracking robustness, and interference mitigation. Benefits Our commitment
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computer architectures and deliver them as user-friendly software to meet DOE experimental facility needs. What You Will Do: Develop new mathematical theory, algorithms, and code for determining
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and analyzing large-scale national datasets (e.g., All of Us, CMS), preparing data for NIH- and federally funded studies, and applying advanced statistical and machine learning techniques to informatics
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to their spin properties. What you will do You will program the connection of quantum experiments to an existing HPC system for the external execution of quantum algorithms. You will develop an efficient user