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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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and implications of data anonymization, Investigating the impacts of various anonymization techniques from a business, legal and regulatory standpoint Designing and evaluating a reference process model
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Your profile Master's degree in computer science, Mathematics, Applied Mathematics, Computer Engineering, Software Engineering, Data Science, Information Systems (Engineering), or related fields with a
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/). Further information can be found on the website of the university: https://www.kuleuven.be/english/life-at-ku-leuven Application procedure Please submit your application through the KU Leuven portal. In
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processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G
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interest in user-centered security, human factors in security, human computer-interaction or UX. Academic: A Master in Cybersecurity or equivalent degrees with expertise in cybersecurity assessment or a
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a PhD candidate to conduct research in in the areas of criminal law and/or criminal procedure law, ideally in connection with its European, international and interdisciplinary aspects. The doctoral
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, you should be curiosity driven and willing to constantly learn new things! Language Skills: Fluent written and verbal communication skills in English are required. We offer Multilingual and
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on natural language processing tasks (NLP), initially mostly on advanced information extraction, but recently also covering other topics, such as conversational agents. In this PhD you will focus on designing
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for automation (previous experience is not required but beneficial).A proactive and independent work ethic.Excellent proficiency in English (both written and spoken). Your responsibilities Develop and implement