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projects on-time with minimum supervision. Preference will be given to those with research experience in machines design and development of computer programmes for numerical computation of electromagnetic
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knowledge of Ancient Maya epigraphy. Experience in a research library, archive, special collection, museum, or comparable environment. Strong computer skills, including experience using relational databases
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collaborations among operations researchers, statisticians, and computer scientists to overcome the methodological challenges posed by the misalignment between historical methods underpinning modern data science
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, or comparable environment. Strong computer skills, including experience using relational databases, collection management software, and electronic library resources. Experience with digital photography
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Degree or Doctoral Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (29 ) Life Health and Medical Sciences (51 ) Mathematics and
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with
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Interaction Centre and the Department of Electrical & Computer Engineering. The position will also involve extensive collaboration with industry partners. Mōu | Who You Are To be successful in this position you
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University of Tennessee Medical Center at Knoxville | Knoxville, Tennessee | United States | 20 days ago
extensive program is not computer-based learning and is led by the Clinical Educator for Perioperative Services. Position Qualification: BSN or ASN Current Registered Nurse licensure in Tennessee or new
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and applied research in one or more of the following areas: collaborative robotics, manipulator robots, compliant robotics, human-robot interaction, computer vision, artificial audition, signal