656 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Germany
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an advantage Extensive knowledge and experience in digital signal processing Know-how of and experience with using machine learning methods for measurement data processing and evaluation is an
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doctorate Carrying out measurements on ceramic composite materials using laboratory X-ray sources and synchrotron radiation sources: spatially resolved X-ray refraction, computer tomography, and X-ray/neutron
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[4], classification [1], ordinal classification [2,3], label distribution learning [5], hybrid methods, etc. Conditions and problematic cases to be examined: missing or small age classes, strong
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Background: You are currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. A solid understanding of digital logic design and hardware
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numerical simulation (FEM), data science Interest in additive manufacturing Programming experience in Matlab/Python Optional: Practical experience in the use of measurement technology/production machines
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or traditional IT security Practical experience with penetration testing tools such as disassemblers and debuggers, as well as knowledge of processor architectures, software development, machine languages
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the art tool built upon the scientific machine learning environment (“SciML”) in the modern “Julia” programing language for high-performance symbolic-numeric computation in scientific computing and
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us to investigate and control microbial interactions across physically separated yet metabolically connected communities. PhD position 2:Teach anaerobes to survive a breath of air. You will push
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during production, consulting, and prototype manufacturing. You investigate how centrifugal forces affect the clamping forces during operation on our turning machines. You derive models from your data
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: Excellent range of machines and equipment, as well as first-class office facilities. 💪 Involvement: Practice-oriented thesis in an innovative applied research environment. 🧘 Work-life balance: Benefit from