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Field
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the total compensation value with benefits. Qualifications Experience developing software to take practical advantage of state-of-the-art ML algorithms and research results in AI. (Required) Experience
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environments. Using shell scripting and batch schedulers such as Slurm. Managing competing priorities across diverse stakeholders, demonstrating excellent interpersonal, oral, and written communication skills. A
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schedulers such as Slurm. Managing competing priorities across diverse stakeholders, demonstrating excellent interpersonal, oral, and written communication skills. A combination of education and relevant
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Health Access Services This position will be responsible for performing essential tasks required for the creation and revision of Epic scheduling decision trees (algorithms) and for leading other Maestro
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of deep learning-based denoising frameworks and sub-tomogram alignment for cryo-electron tomography datasets, to support the analysis of the performance of various denoising algorithms. This role will
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/ Student Temporary? No Standard Hours per Week 20 Full Time or Part Time? Part Time Shift Day Work Schedule Summary Monday – Friday from 9am to 1pm. Is this a work study job? No VP Area U of U Health
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Position Title: Data Scientist, Advancement Position Type: Full time Scheduled Weekly Hours: 40 Categories: Staff Exempt Job Summary: The Data Scientist, Advancement plays a key role in supporting
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computational analysis, including algorithm development, will be integrated throughout the program. Managing collaborations with other research programs within and outside of the lab will be necessary
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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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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data