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-Performing Computational Fluid Mechanics. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical
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to nanofabrication, as well as state-of-the-art high-performance computing equipment. Main responsibilities The successful candidate will study and design devices for integrated optics using inverse design and machine
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Stage Researcher (R1) Country Sweden Application Deadline 5 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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work with deep learning frameworks (e.g., pyTorch, TensorFlow) Proven publication record in relevant fields Familiarity with high-performance computing environments Familiarity with using and adapting
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Stage Researcher (R1) Country Sweden Application Deadline 5 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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, deployment, and operation of cloud-native platforms for edge and cloud computing. Your research will explore advanced data and computing solutions for 6G wireless networks, with a particular emphasis on the
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2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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(starting date flexible). We develop state-of-the-art computational methods and take a leading role in our field. The successful candidate can therefore expect to contribute at the international forefront
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Biochemistry within the Department of Chemistry. The long-reaching scientific endeavor of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput
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with high-performance cluster-based computing Competence in computational programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git