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Masters and/or PhD in Biology, Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering or related fields. Bachelor's degree in Biology, Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering or related fields.
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Priority will be given to candidates in either one of two areas of special interest: (1) scalable synthesis, analysis and implementation of materials relevant to Quantum Information Science and Engineering (QISE), and (2) development of biomedical imaging materials and related technologies (e.g., computational modeling and machine learning) for disease diagnosis and treatment.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You will have the opportunity to apply signal processing and machine learning methods to large biomedical datasets (e.g., brain imaging, ultrasound imaging, wearable sensing), and develop and evaluate novel algorithms for a variety of applications in the medical and human health domains.
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B.S. or M.S. in a biomedical data-related discipline, including Computer Science / Electrical Engineering / Biomedical Engineering, or Physical Sciences. In this internship, you will apply your data science / engineering background to develop advanced automation / visualization pipeline to manage and analyze large-scale patient imaging data.
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Streamline and accelerate the development of artificial intelligence / deep learning models that will be deployed on state-of-the-art ultrasound imaging platforms to improve patient outcomes. A leading research team that is part of Philips’ Global Ultrasound Research organization based in our Cambridge, MA hub, specializing in medical ultrasound imaging and machine learning.
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Department:SOM KC Hoglund Brain Imaging Center (HBIC)Hoglund Biomedical Imaging CenterPosition Title:Magnetic Resonance Research ScientistJob Family Group: Professional StaffJob Description Summary:Hoglund Biomedical Imaging Center (Hoglund) invites applications for a Magnetic Resonance Scientist to join a multidisciplinary team that supports diverse research projects at the University of Kansas Medical Center andthe region.
$65,000 - $99,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Selected candidates will benefit from a personalized research program catered to their goals utilizing resources and mentoring from an active community of collaborating professors within Electrical and Computer Engineering, Computer Science, Dermatology, Infectious Disease / Clinical Pharmacology, Rheumatology, Biostatistics, Biomedical Informatics, and Biomedical Engineering.
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Areas of high interest include but are not limited to AI, machine learning, systems, computer vision, high-performance computing, human-centered computing, network science, and algorithms with a particular focus on applications in health (e.g., computational biomedicine, biomedical data science and imaging, disease modeling, and simulation.
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QualificationsPh. D. in Medical Physics, Bioengineering, Physics, Mathematics, Electrical Engineering, Computer Science, Biomedical Engineering, Mechanical Engineering or a related field is required.
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The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Bachelor's degree (foreign equivalent or higher) in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Optical Engineering, Physics, Computer Science or a closely related field.
$51,000 - $66,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.
$214,000 - $321,000ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Earned doctorate in health informatics, biomedical data science, biomedical informatics, computational medicine or closely related discipline at the time of employment. The successful candidate will have an earned doctorate in health informatics, biomedical data science, biomedical informatics, computational medicine, or a closely related discipline at the time of employment.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Areas of interest include, but are not limited to, computational modeling of living systems, biomedical digital twins, organoids, cell, immune and tissue engineering, biomedical and bioinspired robotics, sensors and bioelectronics, biomedical control, advanced imaging, and nano-scale technologies.
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Familiar with HTM modalities, radiologic technology, safety requirements, electrical and mechanical systems, networking theory, and Regulatory standards governing all aspects of imaging equipment.
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biomedical science imaging jobs
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