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professions education and associated research methods. Appointments will be at the assistant, associate or full professor level (depending on qualifications) in the In-Residence series. PLEASE APPLY ONLINE
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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of at least two references that may be consulted and, if applicable, a list of publications. A motivation letter (maximum 1.5-page A4), emphasizing your specific interest in this position, qualifications
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knowledge in at least two of the following areas: extended reality, perception, psychophysical and psychophysiological methods, experimental design, and human-computer interaction. Good knowledge in one
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Instructions to Applicants Applicants are required to submit a resume, cover letter, and a list of references to be considered for this position. Please have these documents ready for upload when applying
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” , starting on 1 September 2025. The eDIAMOND project aims at developing new methods and systems
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of the primary goals in empirical sciences, including medicine, biology, economy, and physical science. For instance, researchers may seek to estimate the effects of smoking on lung cancer, education on salaries
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Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis methods
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on Snow and ice parameter estimation using high frequency multi-modal SAR. Job description The research focuses on the retrieval of snow and ice parameters and their dynamics using multimodal Synthetic
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physical modelling to investigate a diverse range of problems related to coastal engineering, river engineering, water resources, and water quality. Knowledge of applying statistical methods to support