642 postdoctoral-image-processing-in-computer-science-"EPIC" positions at Northeastern University
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the laboratory research team and may exercise functional supervision over supporting research staff. QUALIFICATIONS Ph.D. or equivalent required in Physics, Biophysics, Math, Chemistry, or Computer Science; be
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science, life sciences, environmental science, engineering, process safety engineering, occupational safety, or other applicable degree with 8-10 years’ demonstrated work experience in meeting EHS
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with other colleges in departments as diverse as Marine and Environmental Sciences (an important partner with most of these joint appointments), Health Sciences, Computer Science, History, and
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in any field of terrestrial geosciences, including but not limited to geomorphology, earth surface processes, soil science, paleontology, and sedimentology. Candidates with the ability to teach courses
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processes that develop mutual program performance objectives, financial targets, and critical milestones for a one and multi-year periods. Finding the right connections: Open Markets and Custom Markets
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, challenges, and successes to senior leadership and the board. Education and Experience Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. Experience: At least
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Master of Science in Speech-Language Pathology (MS-SLP). The MS-SLP program is offered on the Boston and Charlotte campuses and is a 60-credit ASHA accredited degree program. About the Opportunity
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About the Opportunity Job Summary The Three Seas Program Field Operations Specialist is primarily responsible for the operation of the Three Seas Program while the program is traveling abroad
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the start date) in communication, public health, health promotion, or related social and behavioral sciences field. Candidates with interest in computational health communication, AI and health messaging
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. The candidate will also have relevant industry experience and/or research in the areas such as: Blockchain-based decentralized trust computing, machine learning/AI, eco-scale application engineering, cloud