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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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Engineering, Biomechanics, Computer Science, or related field Preferred Experience: Experience with machine learning in medical imaging/biomechanics; grant writing support; clinical gait analysis in clinical
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | 3 days ago
. - Computer operating/programming skills: Microsoft Office Suite, C++, Labview, Matlab, COMSOL, IDL, Python or other programs for data and image processing; A high level of intellectual curiosity, analytical
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Posting Details Position Details Title Multiple, Tenure-Track Faculty Positions in Computer Engineering Appointment Status Tenure Track Department IU Bloomington Vice Provost For Faculty Affairs
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of dislocation stress fields (in collaboration with CEA Saclay). - Program the diffraction procedures to generate images comparable to Electron Channeling Contrast Imaging (ECCI) obtained using a Scanning Electron
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, Signal & Image Processing , Wearable Technology Appl Deadline: 2026/01/02 04:59 AM (posted 2025/11/06 05:00 AM, listed until 2026/05/07 04:59 AM) Position Description: Apply Position Description
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, physics, electrical engineering, applied physics, bioengineering, biomedical engineering, computer science or in a related science and knowledge of, or experience with, the basic techniques or methods
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Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and
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Imaging IT team architects, implements, and manages the computer systems and networks needed to support more than 700,000 imaging studies annually. Our team manages the full stack from network