15 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" scholarships at Chalmers University of Technology
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cells. Reference number: 20250273 Application deadline: August 10, 2025 Project overview This 5-year PhD project aims to develop a flexible and general model that enables comparison between different
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modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
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to: design and perform experiment in different labs develop hand-on skills to fabricate high-performance battery You are expected to develop your own scientific concepts and communicate the results of your
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implementation. About the project Reactive synthesis refers to the automatic generation of programs from high-level behavioral specifications. This approach plays an increasingly important role in areas such as
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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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in fluid dynamics, turbulence modeling, CFD, and turbomachinery. Experience with CAD and CFD tools (e.g., Ansys Fluent, CFX, StarCCM+, OpenFOAM). Programming skills (e.g., Python, MATLAB). Knowledge
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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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for the PhD program at Chalmers. Participating in departmental duties, primarily teaching and supervising undergraduate students. Your profile We are seeking candidates with the following qualifications
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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and presenting research findings. Meritorious qualifications Coursework or experience in turbomachinery or hydropower technology. Experience with URANS, LES, or DES simulations in OpenFOAM. Programming