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have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may
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research activities in stormwater management. The research is both theoretical and experimental with elements of computational technology and mathematical modelling and is based on close collaboration with
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analysis is complemented and correlated with circulating tumor DNA (ctDNA), as well as immune cell composition in serial blood samples collected during therapy. The work is carried out in close collaboration
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, Computer Science, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Electrical Engineering or Applied Mathematics. Alternatively, you have gained
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area “statistics to serve society” which focuses on developing statistical methods and software for the analysis of large and complex collections of data. The PhD student(s) is planned to be connected
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of segregation, culture, and politics, as well as social network analysis and computational text analysis. IAS is also home of the Swedish Excellence Center in Computational Social Science (SweCSS
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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240 higher education credits in Applied Mathematics, Applied Physics, Electrical Engineering, Mechanical Engineering, or a related field. A strong mathematical foundation and excellent academic
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Analysis . We conduct research to find more sustainable technology solutions and ways to transform technological systems to meet the environmental and resource constraints faced by society. Our work is