231 postdoctoral-image-processing-in-computer-science Postdoctoral positions in United States
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cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis, and biophysical modeling. • Experiment
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The Chemical Sciences and Engineering Division invites you to apply to a postdoctoral appointee opening. The successful candidate will perform research in the Interfacial Processes Group
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with skills in computation and image processing is highly desired. Excellent communication skills and an ability to work across platforms in a collaborative style are desired. St. Jude is an Equal
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health, and human rights. The postdoctoral program is designed to provide support through collaborations with faculty and to assist new scholars in launching their own programs of research. Postdoctoral
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will support the areas of multimodal imaging, AI architecture, and efficient
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Geological Survey at the University of Kentucky (UK), in cooperation with the Department of Earth and Environmental Sciences has an opening for an innovative postdoctoral scholar in seismology. This research
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Sciences, Engineering, Neuroscience, Psychology or a closely
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, Computational Biology, Information Science or a related field. Required Qualifications, Competencies, and Experience Experience in at least one of the following fields: Large Language Models, Image Processing
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a