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to transform wood and wood-derived molecules and polymers into functional, high-performance, and circular materials. We are now looking for a PhD student to join our research team. Your work assignments The goal
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colloquia , scientific communication , regular semester lectures , training in teaching , professional qualification courses , and an annual retreat . The course programme includes a high-level review lecture
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employed to achieve an appropriate trade-off between reliability, performance, computational efficiency, and adaptability under uncertainty. The candidate will be affiliated with CRADLE (Center for Robotic
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the discipline of doctoral study has to be above average (at least "good" in the German system or equivalent). Only disciplines from the Faculty of Humanities or the Faculty of Mathematics, Informatics and Natural
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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
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around 200 research different aspects of photonics. Research is performed within nanophotonics, photonic nanotechnology, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Active fault detection in stable continental regions remains
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, including protocol stacks and network performance concepts. The degree must correspond to a five-year Norwegian degree programme, including 120 ECTS credits at the master’s level. Candidates who are currently
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organisation The thesis projects are developed and supervised by two professors. Methods courses give opportunities to learn and perform new techniques. This programme cooperates with the Ruhr-Universität
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University Bremen Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research Teaching language English Languages 100% English Full-time / part-time full-time Programme duration 6 semesters