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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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are an excellent PhD in a relevant field (linguistics, cognitive science, computational linguistics, etc.), the ability to teach in the field of General Linguistics in English, and the ability to conduct independent
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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of error mitigation and error correction primitives. Thereby, the applications of quantum computing that this group is working on is diverse, ranging from various machine learning methods over optimization
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changing environment. Based on an experimental approach combined with modern bioinformatic methods, the candidate should work on causal analysis at the molecular level. Applicants are expected to be willing
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available in the further tabs (e.g. “Application requirements”). Programme Description The International Scholarship Programme (ISP) of the Avicenna Studienwerk, in cooperation with the Islamkolleg
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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and processes. Our competence center for “Monitoring and Artificial Intelligence” researches and develops innovative AI and monitoring methods across numerous fields of energy infrastructures and
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computational methods using network-based analysis, machine learning and dynamic modeling. We are a young, dynamic team at the idyllic Dahlem campus and teach mainly in the Computer Science, Bioinformatics and
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psychometrics Computer- and web-based psychological assessment of cognitive abilities Advanced meta-analytic research methods for educational research You are pursuing your research independently and in