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Field
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university preferably in the subject areas of computer vision, computer graphics, computer science, media informatics or creative technologies Good programming skills in C++, C# for support in algorithm
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applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. At the headquarters, on the campus of “Technische Universität Ilmenau
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applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. At the headquarters, on the campus of “Technische Universität Ilmenau
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theory. In particular, methodological connections to areas of mathematical analysis and/or quantum information theory are desired. Willingness to acquire competitive third-party funding and to participate
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RNA-seq datasets and generate user-friendly applications for data exploration; to perform data analysis derived from diverse scientific topics in collaboration with PhD students and postdocs; to train
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history. Required qualifications include a PhD or equivalent degree as well as postdoctoral qualifications and teaching experience (documented by, e.g., teaching evaluations etc.) equivalent
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...) Data analysis combined with machine learning or AI-methods Device analysis with advanced characterization methods (Raman spectroscopy, AFM, electrical FET characterization...) What you will do
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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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in Europe Intensive supervision of your work, both on-site and online The option to complete significant parts of your work from home The opportunity to learn relevant software such as Aspen Plus and
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods