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and detection, coding theory, and optimization. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or
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methods for data assimilation; and graph-based multi-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas
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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
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infrastructure, and flexibility in delivery both in terms of time and location. You will use mathematical modelling and big data sets to analyze capacity limitations and different charging conditions, and how
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qualifications For this position we are looking for someone who have completed a degree at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits of which
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you have graduated at Master’s level in Natural Sciences or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in Mathematics or Statistics. Alternatively
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. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits, at least 60 of which must be in advanced
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. The workplace You can read about the workplace here: Linköping University, https://liu.se/en Theoretical Physics Division, https://liu.se/en/organisation/liu/ifm/teofy Theory of disordered materials unit, https
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, Electrical Engineering, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics. Alternatively
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democratic experiments aimed at involving citizens in climate action. The position also offers opportunities to further develop the research area through contributions to green democratic theory and methods