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Field
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character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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, and strengthen national energy security. The Postdoctoral Appointee will contribute significantly to ongoing research efforts in resource valorization. Specifically, the candidate will optimize, and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood
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Department of Data Science and Artificial Intelligence Research Assistant Professor in Biometrics, Artificial Intelligence Security and Forensics (Ref. 251014001) The Department of Data Science and
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at this Level Education/Training PhD in Electrical and Computer Engineering; Four (4) years training in wireless communication / remote sensing; knowledge of Zak-OTFS modulation preferred. Experience Experience
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, partially ionized gas that can be applied in gaseous or aqueous phases) has emerged as a promising area of research in postharvest science. Its potential relevance spans microbial safety, postharvest quality
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of Parkinson’s disease, epilepsy and depression. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability
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QUALIFICATIONS PhD in Ecology, Geography, Environmental Science, or a closely related discipline. Demonstrated specialization in remote sensing and spatio-temporal environmental data analysis. Strong programming