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Field
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team member to assist with the analysis of mass spectrometry data from cancer proteogenomics studies. This individual will contribute to the maintenance and development of existing computational tools
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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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, implements, and maintains data collection systems and strategies. 3. Performs statistical analysis and apply data mining techniques. 4. Develops algorithms and design experiments to merge, manage, interrogate
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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