107 phd-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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- University of North Carolina at Chapel Hill
- Oak Ridge National Laboratory
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- National Renewable Energy Laboratory NREL
- Bowdoin College
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- Nature Careers
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- Salaried 12 Month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in Bioinformatics, Computational Biology, Epidemiology, Biostatistics or a related science
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. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by the time of employment Academic or professional experience in machine learning Excellent interpersonal, organization
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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: PhD in a scientific field Preferred experience: Strong programming and neuroimaging analysis experience. Familiarity with longitudinal modeling or machine learning techniques is desirable. Why MCW
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through their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by the time of employment Academic or professional experience in machine learning Excellent interpersonal
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Experience with machine learning, data mining and data assimilation is a plus Knowledge of git, docker, kubernetes, and/or metadata is a plus Ability to work within a team Excellent interpersonal and
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University is seeking a Postdoctoral Research Assistant to support internally funded grant development and application activities connected to machine-learning-driven approaches to low-cost, low-carbon