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student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position. Research Environment The PhD student will join the Secure and Reliable Software Engineering and
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loss functions Study calibration and post-calibration for predictive uncertainty Integrate uncertainty modules into MLFF architectures Detecting Extrapolation and Low-Reference Regimes Analyze MLFF
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Networks for MLFFs Implement and test uncertainty-aware loss functions Study calibration and post-calibration for predictive uncertainty Integrate uncertainty modules into MLFF architectures Detecting
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of offers available1Company/InstituteUniversity of LuxembourgCountryLuxembourgCityEsch-sur-Alzette Contact Phone STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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of LuxembourgCountryLuxembourgCityEsch-sur-Alzette Contact Phone STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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of LuxembourgCountryLuxembourgCityLuxembourg Contact Phone STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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of the BIVEC (the BeNeLux association for transport research) and as such it has free access to post-graduate courses also in other institutions in Belgium and the Netherlands. The training program
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years of post-PhD research and engineering experience in AI for mobile security Solid knowledge in adversarial machine learning or trustworthy AI, including experience with robustness assessment and