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Field
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(e.g. Pydantic, JSON Schema) is advantageous experience with data visualization, image analysis and segmentation methods, machine learning pipelines, or workflow orchestration frameworks (especially
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sciences, physics, engineering, or a related field Have experience in brain imaging (e.g functional ultrasound (fUS), fMRI; optical imaging, electrophysiology) Are proficient in the analysis of large-scale
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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-for-medical-image-analysis Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-de… Requirements Research FieldComputer scienceEducation LevelMaster Degree
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experimental optical systems, including optical alignment, calibration, and performance evaluation. Experience in quantitative analysis of imaging performance, such as spatial resolution, phase sensitivity, and
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We are seeking to recruit a Bioinformatician, for an initial period of 18 months, funded by an ARPA-H LIGHT (lymphatic imaging, genomics, and phenotyping technologies) grant, a multicenter study
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pathomechanisms and developing prototype drug candidates. Project outcomes will be protected as intellectual property and will provide a foundation for translation through clinical studies and appropriate
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
using air-shower imaging telescopes. Trinity targets earth-skimming tau neutrinos above ~1 PeV through imaging of upward-going air showers near the horizon. The first phase of the project, the Trinity
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refractive-index imaging of complex samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue