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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
/Description: The ACM Lab (www.acmlab.org) in the Department of Psychiatry and Department of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral
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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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2 Oct 2025 Job Information Organisation/Company CNRS Department Institut des Sciences Cognitives Marc Jeannerod Research Field Neurosciences Psychological sciences » Cognitive science Psychological
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structural biology, biochemistry, in vitro reconstitution, cell biology, and fluorescence microscopy imaging tools, we aim to uncover how protein-membrane interactions promote membrane microdomain formation
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cellular encapsulation experiments (microchannel emulsification, cell viability assessment, glucose-stimulated insulin secretion, flow cytometry, immunofluorescence imaging). Responsibilities: Assist with
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leveraging collaborations within the group and across Research & Development. Who You Are: PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field Demonstrated record
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience
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, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and
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Department: Location: Health Sciences Center Time Type: Full time Worker Type: Regular Job Req ID: R107459 Minimum Requirements: Associate's Degree in a related field and two (2) years of related