1,526 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions in Germany
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wide range of theoretical perspectives, methodological approaches, and links to educational practice. The interdisciplinary course program focuses on the processes and outcomes of teaching and learning
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well as basic research with the combined tools of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine:The
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projects in the field of laser surgery, we are looking for an engineer specialized in electrical engineering, computer engineering, or computational science to start as soon as possible. Requirements include
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literature is approached from a wide variety of theoretical and methodological perspectives. The Class of Language Education investigates the processes and results of teaching and learning language, literature
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January 2026 (6pm CET). The deadline for referees to submit reference letters is 14 January 2026 (6pm CET). Please check our website https://www.molgen.mpg.de/IMPRS/application for more details. Tuition
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for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz-juelich.de/en/judocs
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to learn state-of-the-art lab methodology, comprising pulsed laser deposition (PLD), atomic force microscopy (AFM), advanced X-ray diffraction (XRD), and electrochemistry. Additionally, synchrotron
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a soldering station, hardware tools, as well as using a computer You are willing to expand your knowledge to cover the entire range of sample environment at JCNS You are a good team-player when it
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our group "Computer Vision and Machine Learning" in developing AI models and transferring them into production. In the master's thesis "Exploring latent spaces of deep networks for fault analysis in
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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