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development of PD treatments. To apply for this role, you will need to have a PhD in Biomedical Engineering, Clinical Engineering, Computer Science, Movement Science or a related field, or, close to submission
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge
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promising forward-looking research agenda. Areas of interest include operating systems, distributed systems, embedded systems, mobile computing, and cloud/data center systems. We are also interested in
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/Scientist IV, Electrical and Computer Engineering Posting Number req25245 Department Electrical and Computer Engr Department Website Link https://ece.engineering.arizona.edu/ Location Tucson Campus Address
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major data science application domains (e.g., healthcare, medical devices, social networks) or societal infrastructures (e.g., transportation, smart grids, smart cities, cloud computing). All candidates
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experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data analysis within the MAX IV edge-cloud
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programs, SPM serves more than 900 students (about 550 undergraduate majors, 316 master’s students, and 16 PhD students). The Sport Management online program was one of the first in the country and remains a
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. About the role... We offer an attractive PhD candidate position in close collaboration with our industrial
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. Duties Within the Data Science Section, you will be responsible for: supporting the definition and implementation of the architecture for a hybrid-cloud science platform (expanding ESA Datalabs - https