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Lab (Department of Physics) and Bio-Imaging Lab (Department of Biomedical Sciences) are looking for a full-time doctoral scholarship holder in the field of super-resolution estimation of cerebral blood
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of material science and industrial application. The successful candidate will be responsible for: Developing an experimental strategy for investigating the main parameters influencing the weld quality between
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integrate your tracking code into a code that maps the three-dimensional distribution of the phases and their structural parameters. You will also help other researchers to integrate your code
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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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partners in the European project, in particular also with the research partner at the Royal Military Academy in Belgium, who is doing the Computational Fluid Dynamics (CFD) simulations to estimate
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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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both synthetic and bio-based drug manufacturing. Build data-driven and hybrid models to scale up the life cycle inventory of drug substance synthesis, which enable estimating the material and energy
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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