37 programming-"AcademicTransfer" Postdoctoral positions at Carnegie Mellon University
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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of our undergraduate program, with a large number of undergraduate majors and popular joint undergraduate programs in statistics and machine learning, and in statistics and economics. We also have two
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opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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expertise in DNA nanotechnology and/or molecular programming. Strong skills in analytical chemistry are a plus. A combination of education and relevant experience from which comparable knowledge is
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expertise in DNA nanotechnology and/or molecular programming. Strong skills in analytical chemistry are a plus. A combination of education and relevant experience from which comparable knowledge is
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savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental
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of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program
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employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender
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, or academic librarianship? Join the team of the Open Science & Data Collaborations program at Carnegie Mellon University Libraries to help foster a more open, reproducible, and collaborative research landscape