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Field
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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the methodology is youth-centred and developmentally appropriate. This project will involve both qualitative and quantitative methods, including cognitive interviewing, feasibility testing, and longitudinal data
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-centred and developmentally appropriate. This project will involve both qualitative and quantitative methods, including cognitive interviewing, feasibility testing, and longitudinal data collection and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
, and testing of detector components using the UNH test stand. Analyze test beam and cosmic ray data to characterize detector response. Collaborate with hardware engineers and software developers
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. Maintain experimental records on all activities, protocols, data, etc. (35%) Evaluate the adequacy of laboratory techniques, study and test new procedures, and analyze data by assessing the performance and
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, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv The successful candidate will work with Prof. Fabrizio Pastore
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software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and
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Applications should include: Curriculum Vitae (including work experience, list of publications) Cover letter indicating the research area of interest and your motivation Research statement Early application is highly encouraged, as the applications will be processed upon reception. Please apply...
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. Positions 1 and 3 are mainly based at AU Viborg, home to BCE’s mid-TRL experimental facilities, which support the development and testing of sustainable technologies on pilot scale. Position 2 is based at AU