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the Division of Scientific Computing and the Division of Materials Theory in the Department of Physics and Astronomy. The Department of Information Technology holds a leading position in both research and
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inference, micro-econometrics, health inequalities, epidemiology, qualitative research methods such as grounded theory, and mixed-methods approaches. Elective courses on data science, public health
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control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
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the Department of Information Technology website . At the Division of Systems and Control , we develop and analyze both theory and concrete tools to design systems that learn, reason, and act in
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usable for real-world code. The second project is centered around memory safety and techniques for memory-safe programming. Memory bugs are extremely costly in development and create security holes in
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collaborations with different international research networks. Additional qualifications Experience in programming languages (Python, C, Fortran, etc.) and with numerical codes for fluid dynamics is a merit
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general study plan . We are looking for candidates with: a strong interest in interdisciplinary research, excellent coding and modelling skills, good communication skills with sufficient proficiency in oral