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academic and professional qualifications suitable for appointment as a tenured or tenure-track associate professor or full professor in the HSMP department. We seek candidates with deep expertise in health
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structures and corresponding images) needed for training and validating deep learning (DL) models. Work closely with members of the ICMN nanostructures group or external collaborators. Communicate research
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research results in international journals with an IF (at least 5 publications); documented experience in conducting research related to deep learning methods, machine learning, and computer vision in
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Assistant Professor - Information Systems, Operations Management, Supply Chain Management, and Busin
AI/ML methodologies , advanced analytics , and data-driven decision making to solve contemporary business challenges. Research methods of particular interest include machine learning , deep learning
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a Research Infrastructure? No Offer Description Work Plan • Survey of the state of the art in predictive and analytical models applied to sports, ranging from statistical and linear approaches to deep
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on animal behaviour and welfare in pigs, where behavioural science is integrated with artificial intelligence and deep learning for the assessment of animal welfare. You will have a central scientific role in
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Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with industry partner to tackle challenges of practical
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to diverse academic and industrial audiences. Proficiency in Python and deep learning frameworks such as PyTorch. Experience with Linux environments and GPU cluster management is essential. Competent in
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academic experience. Applications from all backgrounds are welcomed. Learn more about Boise State and living in Idaho’s Treasure Valley at https://www.boisestate.edu/about/
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within SCI and across other departments within Pitt, and initiatives like the $11.6M Western Pennsylvania Quantum Information Core (https://www.pitt.edu/pittwire/features-articles/pitt-investment-pa