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and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer
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identification and payments in a single app Advise Luxembourg's Ministry for Digitalisation on related activitiesPublish in top outlets on information systems, tech policy, and computer scienceSupport research
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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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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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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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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degree or equivalent in Robotics / Aerospace / Mechatronics / Mechanical or Electrical Engineering, or related fields in Engineering or Computer Engineering Programming Skills: Design tools for Mechanical
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of computational linguistics and crosslingual emotion detection Position You will work actively on the preparation of a PhD thesis in the context of the research project ‘Emotions without borders: Studying
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open