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in English is required. Good knowledge of German or French is a strong asset We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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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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materials (natural and synthetic fibers, yarns and fabrics) which are highly anisotropic and non-linear. Furthermore, the dynamics of high-speed manufacturing processes need to be included in the modelling
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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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team Language Skills: Fluent written and verbal communication skills in English are required. French, German or Luxembourgish is a plus Other requirements: Due to the nature of the project, we
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are curiosity-driven especially interested in interdisciplinary research, eager to continuously learn with critical thinking and explore new ideas while collaborating with a team Language Skills: Fluent written
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, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have an analytical mindset be able to summarize data extracted