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Engineering, Computer Science, or a related field. Preferred: M.S. or PhD in these fields or equivalent industry experience. Software R&D activities, including software development and implementation, prototype
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guidelines exist, and make modifications to existing procedures and protocols. Participate in multidisciplinary teams across different faculties or schools. Perform ongoing literature review to remain current
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Safety Committee by reviewing proposals for the use of radioactive materials and x-ray-producing machines, conducting specialty audits and providing consultations to researchers related to the use
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. Experience in one or more scientific computing languages (Julia, Python, Matlab, etc) You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral
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OF ONE (1) PhD Research studentship, for the project “FISHING ARCHITECTURE”, (ref. ERC-2021-COG 101044244 FISH-A), AT THE FACULTY OF ARCHITECTURE OF THE UNIVERSITY OF PORTO (FAUP) The Faculty
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to apply Website https://cv.newton-6g.eu/ Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Research FieldEngineering » Electrical engineeringEducation
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 4 days ago
with multi-agency military and veteran research and programs Qualifications – The successful candidate will have: · A doctoral degree is required. · Previous project management experience
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and knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering
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. A major focus of our work is studying how undergraduate STEM courses can be tailored to meet the needs of all learners. Current projects involve studying STEM instructor perceptions of student
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are available at http://ist.gmu.edu/students/current-students/course-syllabi/) : Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems Artificial