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Field
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within various scientific and engineering disciplines, including ground-based, airborne, and satellite measurements, numerical modelling, and data analysis. The division's goals are to enhance
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Engineering Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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formal methods. The successful candidate will contribute to advancing data-driven modeling techniques that enable formal safety guarantees for complex dynamical systems such as autonomous vehicles
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of the Candidate: Completed a PhD in engineering, applied physics, applied mathematics, or a related field. Strong quantitative skills and modeling Advanced coding skills Fluent (oral and writing) in English Enjoys
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within various scientific and engineering disciplines, including ground-based, airborne, and satellite measurements, numerical modelling, and data analysis. The division's goals are to enhance
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axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate–water–energy–agriculture interactions, with applications
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-on experience with high-performance AI modeling, embedded system implementation, and end-to-end signal analysis workflows, positioning them at the forefront of AI-driven research in radiofrequency spectral
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
mathematical and computational models of the coupled thermo-fluid dynamics of wind and surface-wave driven shelf-water polynyas in polar oceans. As magnets for biological activity, centers for deep salty water
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is