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Field
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activities related to externally funded projects. This may include developing and evaluating algorithms, collecting data during experimental testing, and performing other types of research. 3. Report
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ability to effectively deal with external developments such as staff shortage. This will be based on insights into the characteristics of operations, and attributes (e.g., learning demand, availability
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Engineering or a related field. In this role, the selected candidate will be responsible for designing, developing, and optimising algorithms for processing and analysing signals in real-time applications
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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located at the MU Bond Life Sciences Center and focuses research on emerging and re-emerging infectious diseases, especially influenza viruses and SARS-COV-2, by developing and applying integrated, multi
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, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured light-trapping
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using different materials, producing a comprehensive dataset of structures and their optical properties. This dataset will serve as input for AI-based design tools developed by collaborators within
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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to, benefit-harm analysis of cancer early detection tests, development of clinical decision rules in cancer early detection leveraging Electronic Medical Records (EMRs), and development of EMR-based algorithms