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experience that will strengthen your application: Operating filters or reactors Molecular biology techniques Programming, data analysis, and statistics Mathematical modelling Wastewater engineering Contract
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%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
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another way. You should have excellent programming skills, preferably C++, and good knowledge of graphics programming. Furthermore you should also enjoy solving algorithmic challenges. The position also
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to the project. Except for the theoretical thesis work, practical work related to computer programming, simulation and on-site field measurements of different aspects will be included. Other duties related to PhD
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competitive performance. This position is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative
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research activities in the project, in collaboration with supervisors and other researchers. Take PhD courses as part of the Doctoral Programme "Human-Technology-Design" Develop your own scientific concepts
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Degree programs in Space Science and Technology. The division conducts research in the areas of atmospheric science and space systems. The Space Systems group focuses on payloads, spacecraft and launchers
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that enable energy-intensive industries to plan and optimize their production based on energy demand, power consumption, and sustainability. The current PhD position focuses on analyzing how digitalization and
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artificial intelligence is transforming human culture and collective memory. The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a national research program in
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legitimacy. WASP-HS The PhD position is part of the Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). The vision of WASP-HS is to foster novel interdisciplinary knowledge