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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
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performance. Assist radiologist with procedure protocoling and performance. Start I.V.s, administer contrast media as directed and per protocol. Evaluate MR scans for technical quality, collate processed images
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Job Description Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Sciences, Engineering, Neuroscience, Psychology or a closely related
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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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to develop DTAs for transferring data. Special skills: Adept at learning computer systems (21 CFR Part 11-compliant EDC and data transmission platforms for receiving clinical imaging data); Able to create
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to develop DTAs for transferring data. Special skills: Adept at learning computer systems (21 CFR Part 11-compliant EDC and data transmission platforms for receiving clinical imaging data); Able to create
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and implement innovative image analysis methods to quantify plant characteristics. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and
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at a computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving