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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | about 1 month ago
Herbicides PhD Student Scholarships: Integrated Australian Shorn Wool Production Forecasting System Using Digital Twin Technology PhD Student Scholarships: Artificial Intelligence-Powered Climate Resilience
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, Geoscience, Remote Sensing, Hydrology, Data Science, Physics, or related fields • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as
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tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge applications. The consortium develops an open-source toolbox of models, code
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models tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge applications. The consortium develops an open-source toolbox
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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
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Faculty Professor Research Assistant - Full-Time Psychology - Pennsylvania-Pittsburgh - (25004821) The Department of Psychology at the University of Pittsburgh announces a non-tenure track position
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engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note, acceptance will also depend
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The Applied Aerodynamics Research Group Supplementary Scholarship provided by the Australian Research Council has been established to support four full-time commencing PhD students who
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This PhD programme is interdisciplinary and recruits PhD candidates with different academic backgrounds. Application and admission requirements About the programme The Study of Professions is a multidisciplinary field of research with great theoretical and methodological diversity. This PhD...
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of multivariate time series (activity, temperature, AMF data). Applied artificial intelligence: development of robust models for early detection of health anomalies. Field validation: deployment and testing