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Remote Sensing, Computer Vision, Machine Learning, Plant Science, Agriculture or related field and extensive relevant experience, or an equivalent combination of relevant experience and/or education and
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. The Scholar will conduct computer-based mapping of the osteocyte lacunocanalicular network within bone from young and aged bone imaged by confocal laser scanning microscopy. The osteocyte lacunocanalicular
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, machine learning, and image processing techniques Strong candidates with electrical, mechanical, and biomedical engineering backgrounds can also apply. To be eligible for this scholarship, you must: Meet
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at St Lucia in the Business School. Key responsibilities will include: Engineer, prototype, validate and deploy statistical, machine learning models and analytic solutions to solve challenging problems
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telecommunications engineering, software engineering, signal and image processing, machine learning, and related fields. For information and contacts details please see the Space & Astronomy Project List linked
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science, machine learning, advanced computational design, and wearable technologies. To be successful you will need: Completion of a PhD in electrical, software, optical, biomedical engineering or physics
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, Health Sciences, Nursing, or a related field. Strong communication and computer skills (e.g. MS Office, Redcap, data management/analysis programs and other electronic communications). Experience working
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common goal in a team environment Computer skills including MS Office, database management and statistical analysis packages. Note : This position requires you to comply with occupational screening
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, student mentoring and student experience. Possess sound computer skills to email, access databases, MS Officer and or other relation Learning Management Systems. Current practical experience (currency
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality