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Field
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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(LAFOV) PET/CT scanner, and aims to push the limits of modern technology. Moreover, the close connection with the clinical environment allows for translation of novel methods to our cancer clinics in
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aspects of health at NUS and in Singapore, and beyond; and to develop interdisciplinary translational research and evaluation methods to support our evidence-based approach. We aspire to become the leading
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under uncertainty with applications in multi-robot domain. We will explore
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the south of Norway. Responsibilities In this position, the candidates will work to develop new methods for accelerating the study of aging in commercial Li-ion battery cells and determining implications
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may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral
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Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in
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; assist with manuscript and grant writing; develop a K award, educate collaborators and lab members on methods used in analyses; supervise students rotating through the lab; stay abreast of new analytic
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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against existing commercial technologies. Key Responsibilities: Perform literature review on data available for commercial processes Provide estimations for data not available in literature Develop process