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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position – Swimming in Complex Environments The Institute for Advanced Simulation - Theoretical Physics of Living Matter (IAS-2
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Strong confinement in highly disordered and intricate environments is essential for understanding the behavior of a broad class of systems with intrinsic motility. Porous materials -- such as cell
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You will work in a highly interdisciplinary research environment, with access to world-class nanofabrication and characterization infrastructure. For deeper insights, please have a look at our
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between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also explore hybrid
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The current transition of energy production from combustion to renewables sources, is changing the emissions of air pollutants from anthropogenic activities. While this shift is expected to improve air quality overall, many regions worldwide still struggle to meet acceptable standards. One...
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an international environment—making it an outstanding place for PhD candidates to carry out high-impact, interdisciplinary research. Your Job This PhD project investigates the nanoscale processes underlying light-to
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environment with cutting-edge computational facilities, including the on-site top European supercomputers Team & Environment: You will work in a friendly international research team at the interface of quantum
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science environment at the interface between neuroscience and digital technologies, enabling scientific progress on the most complex known systems Outstanding scientific and technical infrastructure A
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environment will be developed using hardware-in-the-loop components, enabling realistic scale-up to a full computing center and systematic evaluation of advanced operating strategies. Specifically, the PhD
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skills and ability to work as part of a team in an international and interdisciplinary environment Of great advantage are: Experiences in numerical modelling Basic knowledge of data assimilation