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Field
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fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent Network on international and national basis offers a perfect start for a
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the following requirements: Master's degree in electrical engineering, mechatronics, or a related field, a clear interest in the topic of the position Strong programming skills in Python, with experience in
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/EnergyPlus, Ladybug Tools/Radiance). Proficiency in programming languages relevant for environmental modelling and workflow automation (e.g., Python, C#), or strong motivation and capacity to acquire
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on our website: https://cosmology.univie.ac.at . As a team, we understand the importance of a positive, inclusive, and respectful working environment, and we regularly exchange ideas about current topics
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Genetic variation and genomic prediction in farm animals Research subject Animal Science
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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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, biomedical sciences, immunology, or related disciplines. Demonstrated experience with coding and bioinformatic analyses of transcriptomic and/or imaging data is essential. Knowledge of Python or R is preferred
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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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ample opportunities for direct validation in biologically relevant settings. This interdisciplinary atmosphere has been a main catalyst for many past successes: https://europepmc.org/article/MED/35021063