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, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python
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Strong background in differential equations and numerical methods Solid programming skills e.g. Python, C++, Julia or similar Interest in interdisciplinary research bridging mathematics and environmental
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/ Computer Science, Mechatronics / Mechanical or Electrical Engineering, or related fields in Engineering, Computer Engineering or Applied Mathematics Programming Skills: Programming Experience with Python, C/C++, ROS
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students; and 54 MS students) degrees. The McGowan Institute for Regenerative Medicine (https://mirm-pitt.net/ ), Computational and Systems Biology (https://www.csb.pitt.edu/ ), the Vascular Medicine
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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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, power electronics, and system protection. Strong programming skills (e.g., Python, C/C++, Julia) Researcher III (all above qualifications for Researcher II, plus): Demonstrated leadership in one or more
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an advantage: Natural Language Processing; LLMs; R; Python. Experience with teaching and supervision will be considered an advantage. Very good skills in Norwegian or other Scandinavian language is an advantage
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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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++ and/or Python Experience with SOFA, FEniCSx or similar simulation frameworks is a strong plus Motivation to work at the crossroads of mechanics, AI and medical technology, in close collaboration with
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packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level