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programme Reference Number AE2026-0038 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0038
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programme Reference Number AE2026-0039 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0039
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environment (real testbed or emulation) to implement attack scenarios and measure their impact on service availability. You will design and validate real-time attack detection algorithms capable of meeting the
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Projection Chambers used in the Deep Underground Neutrino Experiment. This work involves parsing the simulated data to extract and analyze the information necessary to develop an algorithm to determine the
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and automated floor-plan recognition, to fill data gaps and harmonise information from disparate sources. Learn more and watch our project video here: https://sb.chalmers.se/digital-material-inventories
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or functional properties. Collaborating closely with experimental partners to integrate decision-making algorithms into real scientific workflows. Publishing results in high-impact machine learning and
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as of the 01.04.2026 at the following conditions: 50% = 19,92 hours Pay grade 13 TV-L limited by 31.03.2029 Your tasks: Development of architectures and algorithms for adaptation of time-triggered
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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scope is broad and varied, including proving theorems, high-performance implementations of mathematical algorithms, practical machine learning, and statistical data analysis. Our research environment is