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                funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The position is located at the Division of Heat Transfer 
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                high-frequency device behavior Use these models to predict amplifier performance and provide feedback for circuit design and Process Design Kit (PDK) development Collaborate with industrial partners 
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                leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications. Research environment The Optical Networks (ON) Unit 
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                Recognised Researcher (R2) Country Sweden Application Deadline 22 Oct 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not 
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                on unsustainable practices and fossil fuel-based compounds as a response to societal requests for green alternatives that maintain high performance while reducing environmental impact. Surface coatings are essential 
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                binders, the lack of knowledge of how the modification is related to the performance is lacking. It is thus needed to collect and translate novel research for developing high-performing bio-adhesives 
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                Recognised Researcher (R2) Country Sweden Application Deadline 22 Oct 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not 
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                quantum field theory, while collaborating with leading experts worldwide. About us The High-Energy part of the Theoretical Subatomic Physics group performs research into elementary particle physics from 
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                the division and the research The Division of Subatomic, High-Energy and Plasma Physics performs research on theoretical and experimental subatomic physics, mathematical and high-energy physics, plasma 
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                Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative