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our website: https://www.list.lu/ How will you contribute? You will join the recently awarded PEARL project FUNG-FACTORY in a team of approximately 10 people – led by Ronald de Vries, dedicated
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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design and evaluate immersive XR experiences that allow users to safely acquire navigation skills in realistic environments such as public transportation hubs, university campuses, and airports. You will
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Deadline: 30th September 2026 Learn more about the programme: PhD Programme | Danube Private University Where to apply E-mail [email protected] Requirements Research FieldOtherEducation LevelMaster
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in one or more of the following research areas is desirable: geometric numerical integration, structure preserving deep learning, stochastic differential equations, generative AI, numerical
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Security and Communication Technology Research is vital to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services
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SINTEF, Equinor, and Total. The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming to improve flow assurance via field
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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? Not funded by a EU programme Reference Number AE2026-0205 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt