1,514 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions in Germany
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such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in
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Biochemistry (IPB, https://www.ipb-halle.de/en/ ) the following position is to be filled ideally on October 1st, 2027: Full Professor (Chair, W3) of Chemistry of Natural Products and Bioactives und Director at
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 19 hours ago
environment of the transregio, one of the leading thoughts is the implementation of the general ''Problem-Based Learning'' principle, i.e., to combine the studies with hands on experience in research wherever
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-of-the-art computational text and data analysis methods Development, application, and validation of machine learning/deep learning methods for addressing specific research questions within the project Design
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English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see: https
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to have a fluent command of written and spoken English with an extensive vocabular (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate
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research, field campaigns and data analysis Very good experimental skills; experience in mass spectrometry and/or aerosol measurements is an advantage Experience with, or strong motivation to learn
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and collaboration skills Fluent in English Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during
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silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
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science (for example, but not limited to, data science, machine learning, statistics, computer science, mathematics, etc.) acceptance by a PhD supervisor with examination admission for PDS and formation