14 parallel-programming-"Multiple" scholarships at Chalmers University of Technology in Sweden
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
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. We seek to holistically address the multiple pressures that ships pose on the marine environment and bridge the gap towards environmental management and spatial planning. Read more here https
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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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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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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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and presenting research findings. Meritorious qualifications Coursework or experience in turbomachinery or hydropower technology. Experience with URANS, LES, or DES simulations in OpenFOAM. Programming
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investigating the fundamental response of quick clays using X-ray based experimental methods and fundamental modelling Experience in programming Merits: Understanding of the mechanics of colloid systems
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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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programming Merits: Experience in modelling erosion problems Understanding of critical state soil mechanics, elasto-plastic and elasto-viscoplastic models Experience in numerical analyses (using finite elements