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Field
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as
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. The candidate will collaborate in an international research team on related topics in probabilistic modeling, uncertainty quantification, and high-performance computing, with applications in the natural and
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is also described here: https://www.graduateschool-computerscience.de/structure-2/ . Special promotion / funding of the programme Other (e.g. state level) Course-specific, integrated German
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neuroscience. For details on current research projects, see: http://www.ruhr-uni-bochum.de/igsn . The study programme includes a semester-wide neuroscience lecture "From Molecules to Cognition", oral and written
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tunability and high-order dynamics to realize dendrite-inspired functional circuits. These circuits will subsequently be integrated as core computational modules within unconventional computing architectures
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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
this with expertise in high‑performance computing and artificial intelligence using unique scientific infrastructures. At the Institute of Energy Technologies – Fundamental Electrochemistry (IET‑1), we
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physics, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers
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Degree Dr phil Course location Münster Teaching language German English Languages Courses are held in English and German. Students may write their doctoral dissertation in either language. Programme
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colloquia , scientific communication , regular semester lectures , training in teaching , professional qualification courses , and an annual retreat . The course programme includes a high-level review lecture
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical