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Field
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design of complex physical systems. The group is jointly embedded at Saarland University and DFKI in Saarbrücken. Current Research Directions include: AI for scientific computing – neural operators and
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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from
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km. Preliminary results reveal a complex system featuring a high-seismic-velocity body interpreted as a potential hydrogen-generating zone (the “hydrogen kitchen”), associated with fluid-rock
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the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly
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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict
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“Investigation of the structure-property connection of chiral Au nanoparticles by advanced transmission electron microscopy” under the supervision of Prof Sara Bals The vacancy is situated in the framework
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tuition fees and a tax-free stipend. Available to Home fee-status applicants only due to funding structure. Delivered in collaboration with Intel, including industrial co-supervision. The student will work
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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documents: a) Copy of certificate or diploma degree. b) Detailed curriculum vitae structured in accordance with point 9. c) Motivation letter. d) Letters of recommendation. e) Copy of the 3 most relevant
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Research Training Group (IRTG) provides interdisciplinary training for doctoral candidates in the field of molecular evolution and origin of life. Addressing this complex topic requires the integration