57 image-processing-"https:" "FCT NOVA UNIDEMI" Postdoctoral positions at Duke University
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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individual will implement, simulate and analyze models of epileptic source localization from EEG signals. Collaborate with clinicians to obtain and analyze imaging, EEG, and outcome data. Prepare results
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cancer and aging settings with CODEX multiplexed imaging. Required Qualifications at this Level Education/Training PhD Experience See job description for requirements. Skills See job description for
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) and their relationships with neighboring tissues in pathophysiological conditions. We utilize in vivo mouse genetics, live imaging, 3D organoids, genome-wide Cas9/Crispr based functional genetic
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experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with digital holography and electronic systems
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pipelines for joint analyses of imaging data from the Rubin Observatory’s LSST and NASA’s Roman Space Telescope. Appointment will initially be made initially for two (2) years, renewable upon mutual agreement
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experience conducting survey research online, and have experience working with natural language processing and application programming interfaces, as well as prompt engineering, large language model training
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, including advanced neural network models and LLM approaches, to efficiently model semantic structures in images, concepts, and real-world stimuli. Applications to age-related pathologies including Alzheimer's
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SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key Responsibilities Research Collaboration: Co-develop and
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, Drosophila melanogaster (reviewed in Kiehart et al. 2017 Ann. Rev. Cell Dev. Biol. 33:169). Our lab applies high resolution live imaging techniques combined with biophysical approaches, genetics, gene