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Field
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with postdocs and senior scientists. Your work is challenged by an interdisciplinary community of scholars. This module comprises the following: the THESys lectures and the lecture seminars (two times per
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Proficiency in standard software (e.g. text processing, statistics) and skills in handling, processing and analysis of large datasets or the interest in acquiring these skills. Strong scientific writing and
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Postdocs, assistant professors, junior research group leaders Vocational training at the University of Tübingen International researchers Excellent research conditions Values Career development Benefits
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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to the scattering data analysis and support of data/metadata formats developed in the group Integration of the developed software into the computational environments and data handling routines Presentation
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Description of the above-mentioned funding opportunities within the university The HPI Research Schools annually grant new full scholarships to PhD candidates and postdocs. Scholarship holders enjoy
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technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University of Cape Town (UCT
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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented