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realistic oxide nanoparticles with sizes from a few 10s of atoms to several 1000s of atoms. In each case, machine learned interatomic potentials (MLIPs) will be developed to describe their structure and
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understood. In particular, we need to know how the solid layer develops, how it affects heat and mass transfer, and how surface design can improve the efficiency of the process. As a PhD candidate in the
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to the development of state-of-the-art nuclear-reaction models and evaluated nuclear-data libraries, supporting safe, reliable, and competitive technologies for both existing and future nuclear-energy systems, as
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, provide only limited insight into how such interference behaves at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You
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and is expected to develop increasing independence in research planning, implementation and scientific writing. Requirements To meet the general entry requirements you must have been awarded a second
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The rapid development of large offshore
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Want to help replace painful prostate biopsies with smarter ultrasound? Join MOMENTUM, an NWO-funded project developing nanobubble-enhanced ultrasound imaging for cancer diagnostics, and design the
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and Water Chemistry at the Technical University of Munich (TUM) is committed to excellence in research, teaching and interdisciplinary education. We strive to proactively develop analytical tools
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. Specifically, tidal and magnetic interactions between planets and their host stars have been recognized to be able to modulate the evolution of both, including the atmospheric evolution of the planet and its
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detection and free space estimation. However, current neural networks are typically developed for a specific radar configuration and task, and often generalize poorly to other sensors. At the same time, large