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photophysical processes in organic semiconductors. You will be responsible for the design and construction of a new ultrafast spectroscopy setup, including developing the custom code to perform the measurements
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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solid experience in coding with R, analysis of metabolomics and proteomics data, as well as in machine learning. You also need to have good knowledge of magnetic resonance spectroscopy and multiple
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into consideration. We are looking for someone with a background in environmental governance or a related field, and documented scientific skills in: coding of policies and instruments. survey methodology within
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, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental