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computer science (e.g. digital technology, chip design, computer architectures, hardware/software codesign, parallel architectures, operating systems). Innovating and improving teaching through new formats and
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statistical/mathematical methods to analyse large data sets Comprehensive experience with HPC system usage, parallel/distributed computing, as well as diverse architectures and understanding of its impact on
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parallel programming using C++ Basic understanding of the functionality of LLM Interest in the High Performance Computing field Ability to communicate with colleagues and discuss various problems in
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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Center for Computational Neurosciences Berlin Medical Neurosciences International Graduate Programme Collaborative Research Center 1315 Collaborative Research Center/Transregio 384 Teaching language
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currently studying computer science, mathematics or a related field Good skills in parallel programming using C++ Interest in the High Performance Computing field Ability to communicate with colleagues and
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development, software design, parallel computing, model building, computational chemistry, biomolecular structures. Techniques: GPU computing, image segmentation, molecular dynamics, scanning probe microscopy
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(CFD) Experience with high‑performance (HPC) computing and parallel programming is a plus Demonstrated capacity for independent scientific work is a plus Enquiries regarding this position can be directed
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: Master degree in Technomathematics or in computer science, engineering, physics, mathematics or natural science or equivalent degree Comprehensive experience with HPC system usage, parallel/distributed
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Feb 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 31 Jan 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the