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. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: Do SR techniques improve human face identification accuracy? How do SR-enhanced images affect
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Specialist (CTRS) Preferred Computer Applications: Preferred Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/95764
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a skilled Data Scientist with a strong foundation in genomic biostatistics to join our team. This role involves leveraging advanced statistical methods and machine learning techniques to analyze
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broadly applicable, the main focus will be on medical images. You will become an expert in federated learning for medical images, and also gain knowledge on how AI can be used in healthcare. As a PhD
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://haitrans.univie.ac.at/ ) based in the University of Vienna Centre for Translation Studies. HAITrans investigates the behavioural and cognitive effects which technologies such as machine translation and automatic speech
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 22 days ago
to optimize object placing. Knowledge and experience in programming, robotics, machine learning methods is necessary. Profile 2 (RAT4Autism-speech): this task is part of a project on robotic assisted therapy
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to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Machine Learning Researcher - Epidemiology will report
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Applications: NA Required Additional Knowledge, Skills and Abilities: Successfully complete required and desired training courses Ability to perform the diagnostic testing and analysis of HVAC, refrigeration
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these images. This project proposes an innovative approach that combines state-of-the-art diffusion models with physical radar knowledge and advanced transfer learning techniques. The methodology incorporates
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data