72 high-performance-computing positions at Technical University of Denmark in Denmark
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working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both academic and industrial
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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
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systems. Your primary tasks will be to: Perform linear and nonlinear optical characterization of higher-order mode fibers Develop and implement mode excitation techniques (e.g. using spatial light
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— we invite you to join us as a part-time external lecturer at DTU Compute. Our section, Embedded Systems Engineering (ESE), works at the forefront of dependable, high-performance, and adaptive computing
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. Responsibilities and qualifications Environmental factors like humidity and gases impact the performance of electronic devices by causing corrosion, which is influenced by the operating parameters of electronic
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and evaluate sustainable food packaging solutions that integrate material innovation, production systems, and microbiological safety for high-impact societal and scientific outcomes. Responsibilities
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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of responsibility listed: Develop assays that utilize centrifugal microfluidic pretreatment and SERS-based analysis for blood samples Drive analytical performance studies (sensitivity, precision, robustness) Engineer
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systems, and husbandry practices. This Ph.D. position aims to gain new knowledge on fish microbiome-health & welfare dynamics, the development, stability, and resilience of microbiomes and performance and