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at the forefront of translating computational research into real-world protective devices that can make a meaningful impact on public health. Project overview This position is part of an interdisciplinary research
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multiphase flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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to collaborate in a multi-cultural environment Preferred qualifications Documented Proficiency using OpenFOAM, COMSOL or ANSYS/Fluent Use of super-computer to perform CFD simulations Use of modal analysis
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control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and computational work
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flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning
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13 Sep 2025 Job Information Organisation/Company Linnaeus University Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Sweden Application
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and maintenance of the workshop's machines in terms of safety devices and function. - Ensure that there is order and order in the workshop premises. - Provide materials to other students. - Lock and
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characterization of nanoscale photonic devices. This recruitment is closely aligned with the recently launched META-PIX Centre , funded by the Swedish Research Council, which focuses on integrated photonics and its