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signaling models”. The scholarship is full-time for 2 years, with access starting in May 2026 or by agreement. The research will be carried out in the laboratory of Cemal Erdem at the Department of Medical
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-derived iPSC models alongside mouse models, our NIH-funded research integrates stem cell biology, molecular and cellular approaches, advanced imaging, and metabolic analyses to uncover how MeCP2 mutations
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computational modeling. The postdoctoral candidate will: Analyze quantitative molecular and imaging data produced by other members of GENESIS. Develop new machine learning models to identify gene regulatory
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lab is looking for motivated individuals interested in using innovative in vivo and molecular approaches to address how the organization and function of norepinephrine neural circuits in animal models
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dynamics, reactivity and molecular interactions. The tasks can include: Visualization of single nanoparticles during thermal catalysis using time-resolved, atomic-resolution transmission electron microscopy
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Postdoctoral Scholar to work with the principal investigator to develop and implement research experiments. Conduct molecular and biochemical research, using cell signaling, flow cytometry, western blotting and
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solutes in water structure using molecular dynamics Developing molecular models for mixtures of two-state water We are looking for a PostDoc that is highly motivated and strives for academic excellence. You
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Center is a multi-disciplinary research center with various current translational studies. Our laboratory is interested in understanding the molecular mechanisms of HIV latency and persistent HIV infection
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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: 1116179 Position Summary Successful candidates are expected to work on molecular design and theoretical modeling of soft materials as well as their applications in healthcare and sustainability