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information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . What we offer A doctoral research position in a timely and socially meaningful
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activity using fully compressible MHD in global and local frameworks, integrated with physics‑informed machine learning and coronal/wind modelling. Key tasks and responsibilities: Develop and implement data
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community. The research will be carried out at the Department of Information and Communications Engineering, DICE, at Aalto University, Finland. The project environment offers excellent infrastructure
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such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your
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large variety of material characterization techniques, and contribute to shaping a greener future. Your role and goals The main focus of your research will be on preparation and benchmarking of porous
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society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://www.worldhappiness.report/ . For more information about living in
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society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://www.worldhappiness.report/ . For more information about living in
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/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here . Please see more of our Open Positions here. Where to apply Website https
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from wood and agriculture feedstocks for textiles and packaging applications supporting two large EU funded projects. The portfolio of projects under the Sustainable Bioproducts Innovation research group
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to next-generation 2D gas sensors. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with