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Job Description University of Maryland, Baltimore is seeking a PET Technologist (MRI Technologist) to support clinical and research PET imaging operations, including an integrated PET/MRI program
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testing and imaging. Image processing and analysis of experimental data (e.g., micro-CT or microscopy data). Development of computational models, including finite element (FE) models of biological and
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the mechanosensitive processes and the mechanical properties of tissues that drive tumor malignancy and anti‑tumoral immune responses. This multidisciplinary project will combine: Biophysical techniques and image
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
-processing systems. Collaborates with UCSF Clinical Systems in developing patient-centric imaging solutions and procedures. Manages Service Delivery to all Imaging IT customers. Supports small project
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Engineering, Human-Computer Interaction, or a closely related field. Strong programming proficiency in C#, C++, or Python. Hands-on experience with foundational AR/VR development platforms, such as Unity3D
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mechanical or mechatronics engineer with experience in robotics and physical system development to join Prof Christos Bergeles’ Group in the School of Biomedical Engineering & Imaging Sciences, King’s College
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variety of AV and classroom technology to students, faculty, and staff in classrooms and computer labs across campus. Successful candidates will demonstrate excellent customer service skills and an interest
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biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will have recently obtained a PhD in physics, biophysics, biochemistry, physical chemistry, engineering
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, confocal, and/or fluorescence) to acquire high quality images. [10%] Collaborate with pathologists, engineers, and data scientists to interpret results and validate marker expression patterns. [10%] Maintain
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and