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Bold. Position Description: Support research projects focused on virtual imaging trials, computational modeling, and imaging technology evaluation. Manage, curate, and analyze experimental and simulation
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine
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, preparation of communications, and planning and execution of events. Provides specialized support that requires computer skills, data entry accuracy and software savviness. Performs other duties as assigned
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 25 days ago
German level (C1) • Experience and skills in the application of modern imaging technologies (e.g. µCT methods) in the representation of biological processes in infection medicine) Main Research Field
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control maintenance of patient care items and equipment Outside imaging processing Fitting off the shelf durable medical equipment In addition, this position will retrieve prior medical history, print
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Apple Device Enrollment Program and Mobile Device Management (MDM) capabilities of Jamf Pro to simplify enrollment and setup processes. Review device configuration to ensure success and identify trouble
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initiatives, including evaluating program effectiveness and continuously improving offerings based on emerging technologies and user feedback Strong knowledge of AI concepts, prompt engineering, and experience
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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college degree program in Plant Biology, Soil Science or related science field; three to five years of related and progressively more responsible or expansive work experience in overseeing research projects