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About the Opportunity The KRI Research Program Manager, Level I or II is a Burlington, MA or Arlington, VA based position responsible for operational elements of Department of Defense (DoD) funded
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Computer Engineering (ECE) program of the ECE department at the Northeastern University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine, Learning Combinatorial
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program in the subject matter. Additional Information: Northeastern University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race
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teach for the Bioinformatics Professional Science Master’s (PSM) Program depending upon the programs’ needs and enrollment. Responsibilities: Responsibilities include the following: review and learn key
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About the Opportunity Description: Individuals are sought to teach 1) graduate courses in science and technology relevant to the biotechnology field specifically to biopharmaceuticals and 2) graduate courses that broadly educate how biotechnology and bioscience companies bring early-stage...
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, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research
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: The Distinguished Research Fellow will be expected to start-up their own research program. This will include applying for external funding, developing project budget; interviewing, hiring, and managing all
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, mentoring, and overseeing students and postdoctoral researchers, conducting an independent research program that attracts external funding, and preforming service to the college, university and the profession
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About the Opportunity The Program Manager (PM) will support program activities to ensure project deadlines and outcomes are met. The PM will utilize appropriate internal tools including project
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contribute to the successful execution of R&D projects. Responsibilities include providing technical contributions as a software engineer for a wide range of projects involving machine learning (ML) and