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processing algorithms for coherent optical communication systems What you bring to the table You are a student of electrical engineering, communications engineering, computational engineering, or a related
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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research focus. The IMPRS-gBGC offers a PhD program specializing in global biogeochemistry and related Earth system sciences. The overall research and teaching focuses on: Improved understanding
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natural sciences expertise in materials science and materials engineering, in particular methods of computational material science (e.g. DFT, CALPHAD) programming skills, e.g. Python basic knowledge of data
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: practice-oriented research for mechanical engineering, the automotive industry, and related sectors. We develop intelligent products, production systems, services, and software applications. In our Corporate
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the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates
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for different application use cases Your Profile: Enrolled in a Master’s program in physics, materials science, electrical engineering or a related discipline Solid background in solid-state physics and/or
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems