2,767 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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team to unravel the mysteries of membrane ion and lipid transport and their roles in various diseases. Minimum Requirements: PhD in biochemistry, biophysics or cell biology Preferred Qualifications
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position is part of a project to investigate the brain mechanisms of vision and visual development. The studies will involve a combination of approaches including neurophysiology, neuroanatomy, behavior, and
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, viral tools, advanced bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational
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Program. The research activities will focus on climate-driven input, transport, and fate of plastic debris in the Lake Ontario watershed and nearshore region. Job Responsibilities Applicants must hold a PhD
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on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL
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management, and presentation skills Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention to detail and follow-up skills Strong customer
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Physical Biology Lab and/or to pursue individual projects in each lab. The Project Environmental issues are currently among the most pressing facing humankind. As such, understanding how students learn about
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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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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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to solve biomedical problems, or a PhD in biomedical sciences with a strong interest to apply AI and machine learning approaches. With our strong commitment to translating research findings to actionable