154 postdoctoral-image-processing-in-computer-science positions at Massachusetts Institute of Technology
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
or project/program management experience; previous technology transfer experience in an academic/research environment; proven record of managing complex projects and cross-functional teams; knowledge
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, computational biology, medical imaging, drug discovery; experience with geometric deep learning; and cloud platform experience (AWS, GCP, or Azure). This position is located in Cambridge, MA (MIT Jameel Clinic
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Massachusetts Institute of Technology, Schwarzman College of Computing Position ID: Massachusetts Institute of Technology-Schwarzman College of Computing-MULTIAI [#30426] Position Title: Position
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closely with financial and academic staff. Job Requirements REQUIRED: Bachelor’s degree in business or related field or STEM; a minimum of three years of administrative experience; strong computer literacy
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Posting Description PROGRAM DEVELOPMENT ADMINISTRATOR, MIT Job Connector, as a member of the Office of Government and Community Relations team, proactively collaborates with a cross-section of
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Science and Engineering, Music, or Physics. Each fellow in the program will have a faculty mentor in the research area as well as in AI. A key aspect of the program, and of the candidate selection process
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Posting Description PROGRAM COORDINATOR, Institute for Medical Engineering & Science (IMES), to join an inclusive community of students, administrative staff, research staff, and faculty who
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while adhering to the MIT policies regarding working with minors. The MITES Saturdays Program in MIT Introduction to Technology, Engineering, and Science within the MIT School of Engineering is a rigorous
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experience; Master's degree in relevant field (Communications, Business Administration, Science Policy, or related); five years of program management experience, in academic or research settings; experience
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treatment; use a variety of molecular, cellular, biochemical, genetic, imaging and behavioral approaches to assist graduate students, postdoctoral fellows and research scientists in generating and studying