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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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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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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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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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times through higher parallelization and enable targeted stimulation of hardware faults by adjusting the models. To this end, a simulation environment based on a virtual prototype will be developed using
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of Parallel computing Independent, goal-oriented and responsible working style What you can expect Insight into exciting research projects Cutting-edge research thanks to top technical equipment Practical
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Professorship - Programme Information (PDF, 123 KB) Recently selected Humboldt Professors Our Alexander von Humboldt Professors for AI WANTED: Alexander von Humboldt Professors (female) The Alexander von Humboldt
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scientific work on design automation for quantum computers and develop methods and software tools dedicated to the design and realization of quantum algorithms/circuits. One of the main challenges in