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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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to an excellent research infrastructure and high-quality Swedish administrative data and a vibrant working environment. A highly qualified education within a thriving research environment. Our economics department
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cementitious materials, life cycle assessment, or circular design principles. For further information about a specific subject see - General syllabus for the Board of the faculty of science and technology
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of 4 years) or over 12 terms (a total of 6 years), starting each autumn and spring semester. More information about the programme can be found on the faculty’s web page for doctoral studies (Doctoral
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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good proficiency in written and spoken English. For further information about a specific subject see; General curricula for the Board of the faculty of science and technology Further information
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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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, 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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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven