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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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. Competence in computer-aided methods for data analysis and modelling, e.g. with Python, advanced MS Excel Sheets, Aspen or multiphysics simulation tools. Excellent cooperation and communication skills complete
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however require a significant measurement effort to be estimated, especially in the high-precision regime relevant for fault-tolerant quantum computing. You will investigate recent advances in
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or related fields Expertise in advanced neurofunctional assessments and methods (e.g., computer vision, bioacoustics, machine learning/AI, neuroimaging, eye-tracking, multimodal data fusion) Excellent
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. Strong interest in advanced neurofunctional assessments and methods (e.g., computer vision, bioacoustics, machine learning/AI, neuroimaging, eye-tracking, multimodal data fusion) and/ or willingness
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research. The project ‘s goal is to streamline biodiversity monitoring and analysis using AI methods, geo-analysis, and the integration of citizen science. This position will be part of a multidisciplinary
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reconstruction methods,familiarity with current computer architectures,experience in large high-energy nuclear or particle experiments,good English language skills, both spoken and written, andexperience in
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, material science and ultrafast X-ray science. What these data challenges have in common is that they cannot be addressed with standard computational methods but rather require modern data science and
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to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers a project position as Research Associate / Postdoc (m/f/x