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positions (TV-L E13). Addressing global challenges, the school provides a wide variety of topics, from logic in autonomous cyber-physical systems to machine learning in Earth System models. You will have one
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the broader community. You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in
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the broader community. You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in
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of progressive methods of detection, identification, classification and tracking of objects of different sizes, shapes and speeds of movement using elements of artificial intelligence and machine learning
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in the same fields with five (5) years of experience, OR PhD in the same fields with two (2) years of experien. Willingness to occasionally travel to customer sites, conferences, and offsite meetings
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modeling, multilevel (random effects) modeling, and analysis of data from complex samples Experience with management and analysis of big data Experience with machine learning and related approaches (e.g
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Magalhaes to support a research project aiming to develop machine learning methods for drug repurposing in ageing and frailty disease. We aim to employ a machine learning approach to predict, among existing
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deploying machine learning techniques in quantum device and circuit design and modelling. C5 Excellent communication skills (oral and written), including public presentations and ability to communicate
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control under high inverter-based resources (IBRs). • Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity
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immunology through innovative spatial analysis of the tumor microenvironment. Requirements Successful candidates will have a PhD, MD, or equivalent degree in immunology, cancer biology, pathology, or a related