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impactful research. A suitable background may be, for example, in industrial engineering and management, computer science, data analytics, bioinformation technology, systems sciences, statistics, economics or
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, material science and advanced analytical techniques (e.g. state-of-the-art liquid and solid-state NMR techniques, X-ray diffraction, transmission electron microscopy, etc). The position involves
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mathematics, or another closely related field A strong foundation in wireless communications, statistical signal processing, estimation theory, or a related area Good mathematical and analytical skills
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, Computer Science, Control, ML/AI, Mechatronics, or Applied Mathematics; strong analytical and writing skills; solid programming and mathematical skills (Python/C++, ROS valued); fluent English. Position-specific
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, organization studies, management, or another relevant field. Previous publication experience is not required for the Doctoral Researcher position. Key selection criteria include research potential, analytical
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simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with experimental collaborators. The position is part of the Research Council
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to next-generation 2D gas sensors. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with
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ambitions We are looking for a highly motivated candidate with strong analytical skills and a clear interest in urban transport systems and their governance. The successful applicant should enjoy working in
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for a highly motivated candidate with strong analytical skills and a clear interest in urban transport systems and their governance. The successful applicant should enjoy working in an international and
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or prospective LCAs. Ability to perform mass/energy balances bio-based processes. A solid track record of publishing research in peer-reviewed scientific journals. Exceptional analytical and critical thinking