2,399 machine-learning "https:" "https:" "https:" "UCL" Postdoctoral research jobs in United States
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background
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pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends
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Programming experience (e.g., R, Python) and interest in machine learning approaches Doctoral degree (PhD or equivalent) in Education, Psychology, or a closely related field by the start date Knowledge, Skills
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R260053 Posting Link https://www.ubjobs.buffalo.edu/postings/61569 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information
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. For more information on my research background and publications, please visit my ORCID profile: https://orcid.org/0000-0002-7691-8948 . Responsibilities: Perform Middle Cerebral Artery Occlusion (MCAO
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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Qualifications: Experience with development of R packages or other software Minimum 1-year experience in machine learning methods Knowledge, Skills and Abilities: Excellent communication skills (written and oral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL