1,811 parallel-computing-numerical-methods positions at University of Michigan in United States
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Practitioner program or who has successfully completed all required Nurse Practitioner program coursework at an accredited Nurse Practitioner program to qualify to take their specialty certification exam
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excellent verbal and written communication skills, attention to detail, and demonstrated computer efficiency. In addition, the candidate should have strong organizational skills, the ability to successfully
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of AI-based computer vision methods on optical and radiologic images. Our laboratory focuses on (1) intraoperative imaging with label-free optical microscopy and (2) neuro-imaging such as computed
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Release Time for Professional Education Activities Medical Malpractice Insurance Paid Maternity and Parental Leave Tuition Support Program Wellness Plans Work/Life Resources Responsibilities* Under
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-year students. Represent LSA at numerous virtual and in-person college fairs, high school visits, and programs in Michigan and targeted states. Use our database systems to run reports, analyze data, and
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consultation and support services at numerous stages of project implementation including concept development, planning, budgeting, funding, design, engineering, construction administration, project activation
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instructors posting on the university careers website. Application materials should be addressed to the faculty noted on the job description or to the chair of the program that you are applying to in cases
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of the application. Job Summary The Quantitative Methods in the Social Sciences (QMSS) program seeks applicants for a part-time Lecturer I position with an anticipated start date of August 25, 2025. This is a non
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compiled and appropriately filed as needed; and managing post-award change requests, budget allocations to sub-projects, UG Monitoring reports, and other related sponsored program and research related
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, and build research resources. Through these approaches, we facilitate the development of cutting-edge methods and the application of these methods to important problems in all research disciplines. We