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. Correlating experimental, ab initio and multi-scale simulation as well as machine learning techniques is central to our mission: Development and application of advanced simulation techniques to explore and
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soon as possible Work location: Geesthacht (near Hamburg) Application deadline: September 21st, 2025 We are looking for a highly motivated PhD candidate to investigate the interactions between wind and
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at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining
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benchmarking. References: Flemisch, Darcis, Erbertseder, Faigle, Lauser, Mosthaf, Müthing, Nuske, Tatomir, Wolff, Helmig 2011. DuMux: DUNE for multi-phase,component,scale,physics,… flow and transport in porous
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the atomic to the industrial scale – to drive innovations that enable a sustainable energy transition. We are now inviting applications for a three-year PhD position in electrochemistry, focused
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. Establishment of suitable models to explain the results obtained drawing of interdisciplinary and potentially multi-scale approaches will be an opportunity to integrate experiment and model. Execution
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observe atomic motions during primary events. The use of ultrafast imaging over the relevant length and time scales generates new levels of understanding of the interplay between structure and dynamics
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
). The successful applicants will be part of a large, multi-disciplinary team located in Tübingen and Paris, with PhD research projects in neuroscience and ophthalmology, covering a wide range of interrelated
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, HHU Düsseldorf). Prof. Amunts is a leading expert in brain mapping and the development of human brain atlases at microscopic scale. Her group pioneered the Julich-Brain and BigBrain projects using deep
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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with