91 phd-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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solving skills and a strong publication record are a plus Proficiency in statistics used in the life sciences is desired Experience in computer programming would be a plus Preferred Special Knowledge
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
: * Introductory proficiency in Python, R, or another programming language * Prior exposure to machine learning or AI techniques in clinical research * Experience using deep learning frameworks * Familiarity with
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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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statistics or machine learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing, sitting, walking, talking and hearing. No special vision requirements. Lifting up
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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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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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wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer. Qualifications: Required: PhD degree in a relevant science (behavioral and human sciences
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materials such as the magnetoelectric, high entropy oxides, through neutron scattering experiments. Additionally, collaborative work will be performed with the aim of developing and applying machine learning
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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