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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 21 hours ago
that enables them to work on an innovative research topic and to develop and apply the scientific methods appropriate to their research topic. Course organisation During the three-year programme, doctoral
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-disciplinary and cross-cultural cooperation. The research revolves around four topic areas: Business models, decision processes and economic analyses Holistic interdisciplinary methods for modelling, analysis
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-scale maser devices, based on integrated circuits Perform experiments using steady-state microwave spectroscopy, as well as time-resolved spectroscopy methods Design and development of new experimental
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and validated numerical models, to enable lightweight, reliable, cost-efficient, and sustainable novel design concepts. The PhD will also explore additively manufactured (AM) concepts with strong
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- Teaching courses and supervising of student theses YOUR PROFILE - University master's degree in geophysics or physics, above-average, with ideally good knowledge of seismic methods and numerical simulations
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symposium Advanced methods and specialised training Transferable skills and career development Other curricular activities including an IMPRS-ML retreat In addition to the curricular activities organised by
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
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impacts and loads from blasts to the brain using numerical models. You will employ cutting-edge modelling and neurobiological techniques, behavioral animal tests, advanced analytical methods, while
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facilities. A popular method of doing so is to create vast battery storage facilities which require incredible sums of upfront capital and rely on lithium, one of (if not) the most intensively mined resources
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using water-based processing methods. To accomplish these objectives, we aim to bridge key knowledge gaps, particularly in understanding the processes that stimulate the production of the polymers by