656 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs in Germany
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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) Experience in scientific research and scientific work is an advantage Good computer skills (MS Office) Independent and creative working style Flexibility and willingness to work We offer: Insight into research
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and support the local subject-specialist teachers in their native languages. The FLA assist the teachers during 12 lessons per week and help make the situation of learning a foreign language lively and
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to teach at a higher education institution in Germany) Duration education and training: 2 days (programme countries) or 5 (partner countries) to 60 days (excluding travel times) teaching: teaching duration
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Bachelor-/ Master Thesis: »Investigation of effects of surface metrology data on optical simulation«
supervision and collaboration in a dedicated team A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job in the best possible way We
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-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job in the best possible way We value and promote the diversity of our employees' skills
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, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 8 days ago
pipelines, and apply them to address fundamental questions in cell biology. The position offers broad opportunities to learn, integrate, and apply concepts across disciplines while advancing the frontiers
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should be willing to learn some of them as needed. What you contribute Enrolled student (Bachelor/Master) in acoustics, physics, mechanical engineering, electrical engineering, computer science, media