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-Performing Computational Fluid Mechanics. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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programming skills (e.g., Python) and familiarity with high-performance computing environments Experience with quantum programming (e.g., Quantum annealing, Qiskit, etc.) Strong motivation for interdisciplinary
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familiarity with high-performance computing environments Experience with quantum programming (e.g., Quantum annealing, Qiskit, etc.) Strong motivation for interdisciplinary research and teamwork Pronounced
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observation and high-resolution numerical modelling. However, the high computional cost associated with the numerical modelling approaches that we use at LIENSs (SCHISM modelling system ; Zhang et al., 2016
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essential that the postdoc can work independently on the task and critically evaluate their own work. The postdoc will perform fluorescence measurements in plasma samples. The postdoc will also prepare brain
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infrastructure, core lab funding, and Advanced ERC grant funding Extensive collaborative opportunities with other lab members, labs, and institutes High-performance life sciences and compute infrastructure with
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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(GC-MS), high-performance liquid chromatography (HPLC), inductively coupled plasma optical emission spectrometer (ICP-OES), and computational methods. Terms of employment The average weekly working
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Vacancies Postdoc Position on Power Electronics for Long-Duration Energy Storage (SLDbatt Project) Key takeaways The Faculty of EEMCS and the Power Electronics group at the University of Twente