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Field
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informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
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in neuroscience and/or cell biology, biomedical engineering or computer science, highly preferred. Equipment Utilized Physical Demands and Work Environment Physical Demands: Standing, sitting, walking
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Apply now Job no:502343 College / VP Area: College of Engineering Work type:Staff Location:Newark, DE Categories:Research & Laboratory, Full Time Context of Job: The Department of Electrical and
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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cutting-edge knowledge. Required Qualifications & Experience PhD in a relevant field, including Biophysics, Cell Biology, Neuroscience, Cancer Biology, Biomedical Engineering, Bioengineering, or related
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environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal
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. Current and emerging areas of work include: Life-course and translational aging research, including integration of aging science across the Stanford Clinical and Translational Science Award (CTSA) program
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28, 2026 Purpose: Applications are invited for a new Postdoctoral Scholar position in mathematical physics and electromagnetic (EM) theory/modeling, at the Electrical and Computer Engineering
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Telescope and WIYN telescope. Computing access is supplied by the Penn State Institute for Computational and Data Sciences . Education and Experience A PhD in Physics, Astronomy, or a closely related field is