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innovation “out of the lab” and into communities. SFU has a demonstrated commitment to advancing digital infrastructure through investments in key areas such as artificial intelligence, cybersecurity, next
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research spanning the broad landscape of computational science, including artificial intelligence, machine learning, deep learning, and their applications in addressing complex scientific and societal
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) Artificial intelligence materials, (6) Metal and inorganic materials, (7) Organic materials, (8) Biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. Highly
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focus of the position is on application and advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning
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recruitment focuses, but is not limited to: Medical Imaging and Informatics (i.e., MR, CT, PET, Radiotherapy), Intelligent Medicine (using Artificial Intelligence, and Big Data), and Smart Biomedical
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provide a range of services and applications, from standard workstations to artificial intelligence and deep learning. The digital transformation is a strategic guiding principle for the development
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
academic issues in IT such as artificial intelligence; Demonstrated skill in respectful, sensitive communication with people from diverse backgrounds, cultures, language, gender, and abilities; The ability
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QGG Aarhus University seeks an Associate Professor in Quantitative Genetics of sustainable cattle...
more than 20 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied
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biological systems, also in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence