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Field
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(PNT) and geolocation systems definition, design and development. The PNT and geolocation domain covers the end-to-end (E2E) engineering of PNT and geolocation systems at system, space, ground and user
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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including, but not limited to Computational Thinking, Algorithms, Data Structures, and Software Development and will have supervised dissertations at both undergraduate and postgraduate levels. The post
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engineering systems analysis/optimization, or computational algorithms § Familiarity with multiple computer languages, including Python. § Ability to develop prototypes of tools needed to analyze data. Â
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. Provide accurate and timely follow-up with staff, patients and families. Process accurate and timely admissions as requested. Patient placement in accordance with placement guidelines, fill algorithms and
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific
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of data from in-Situ AM Process Monitoring tools, machine agnostic algorithms will be generated for quality control. Knowledge transfer of the methods developed onto industrial machine platforms will be a
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Number: COMP 251 - Course Title: Algorithms and Data Structures Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain
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Number: COMP 360 - Course Title: Algorithm Design. Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain and observe
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research in a scientific area of relevance to the CCM and/or develop and implement novel algorithms and codes needed for CCM-related research Publish research in refereed scientific and technical journals