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and quantify volatile organic compounds (VOCs) and other analytes even in complex mixtures and humid environments. Inspired by natural olfaction, this innovative approach relies on measuring differences
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of far-infrared electronics, with real-world impact in areas such as wireless systems, remote sensing, and space instrumentation. Information about the division and the department At the Department
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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Posting Details Classification Information Posting Number STH002139P Employee Category Student/Temporary Position Information Position Title Research - Lab Assistant Location Moscow Division/College
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information Employment
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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information on beginning, duration and mode of study No specific regulations Application deadline No specific deadlines Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint