76 parallel-and-distributed-computing-phd positions at Chalmers University of Technology in Sweden
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challenges, and we are currently moving the code to a new python based High Performance Computing enabled modelling framework. This is an exciting opportunity to contribute to a high-impact scientific codebase
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teaching at the undergraduate and master's levels, as well as supervising master's and/or PhD students to some extent. Another important aspect involves collaboration within academia and with society at
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by senior researchers at the involved departments and companies. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a
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solutions with real-world impact. Major responsibilities Conduct independent research and collaborate with others in the research group. Supervise Master's and/or PhD students (no teaching included
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to individuals who are currently enrolled in a master’s program at Chalmers University of Technology. Essential personal attributes include curiosity, persistence, and a learning eagerness. In addition, valuable
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), the position includes academic and industry secondments (DTU Compute and Danfoss Power Electronics), and access to a dynamic European research network. The fellowship offers exceptional opportunities