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process. They work closely with radiologists and other healthcare professionals to accurately capture and interpret breast images for early detection of breast cancer. Their primary duties include
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the imaging process. They work closely with radiologists and other healthcare professionals to accurately capture and interpret breast images for early detection of breast cancer. Their primary duties include
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 16 days ago
, the energy efficiency and the safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Experimental analyses of Ion-Specific effects
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using fine motor skills. Dependability. PACS experience as well as proficient computer entry skills. Experience with digital imaging in an inpatient and trauma setting. Familiar with GE C-arms, Medtronic
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Natural Language Processing, Applied Computer Vision Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine
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background in theoretical computer science and mathematics, with comfort in formal proofs and notation. • Familiarity with LaTeX for academic writing. • Research literacy: ability to critically read, interpret
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group has used their expertise in computer simulations on small model chromosomes to demonstrate that polymer-assisted condensates are capable of maintaining the epigenetic state through 40 generations
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for