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how fluid dynamics can be simulated on quantum computers by designing novel quantum algorithms, implementing software, and evaluating their performance on quantum computer simulators and potentially
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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gel-like structure called the third phase. Third phase formation is, however, a processing disaster and must at all costs be avoided. An ability to predict and control third-phase formation is essential
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and biomedical applications; prior exposure to medical data is welcome but not required Very good command of English; German is an asset but not a requirement Independent, rigorous, and collaborative
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modelling, explainable NLP, or familiarity with diachronic linguistic data; hands-on experience with version control, open-source development, and reproducible research workflows; and/or knowledge
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stakeholders involved in the research. You are a collaborative team member who can also work independently, take initiative and solve problems creatively. You have a good command of Dutch and English. This is a
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designing and building hardware solutions, e.g. using Arduino, Raspberry Pi, 3D-printing, CAD and CNC machining and/or laser cutting Language Requirements: Excellent command of English (C1), both orally and
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procedures, quality-control requirements and reproducible research practices. Ability to work both independently and as part of an interdisciplinary and international research team. Willingness and ability
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interactions to neutron-rich systems. The central aim of this project is to develop a Gaussian Process emulator for computationally expensive Relativistic Hartree-Bogoliubov and Quasiparticle Random Phase