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Field
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‑on experience with Python or other scientific programming tools. Candidates must have a strong analytical mindset and willingness to work across experimental and computational domains, be proficient in oral and
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software engineering Solid Java/Javascript/Python programming skills. Solid mathematical background. Good background knowledge in the areas of business process modelling and model-driven engineering is a
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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Dutch), cognitive modeling of human problem solving processes, mechanistic interpretability in AI-models, as well as extensive computer programming experience in R and Python. Given that the project lies
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | 4 days ago
of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills LanguagesENGLISHLevelGood Research FieldBiological sciences » Biological engineeringChemistry
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identification, optimization, or numerical methods is valuable, as is knowledge of data analysis and machine learning for complex, high-dimensional systems. Programming experience in MATLAB or Python, and an
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the faculty and university research policies . You act with attention to quality, integrity, creativity and cooperation. Proficiency in scientific programming (Python and/or MATLAB). Experience with C
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://www.academictransfer.com/en/jobs/360507/phd-position-in-numerical-analy… Requirements Specific Requirements You have, or will shortly obtain, a master's degree in Mathematics or a closely related field. You have a strong
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, excellent study results, high proficiency in programming (preferably in Python), good communication skills with sufficient proficiency in oral and written English, personal characteristics such as a high
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strong interest in developing new theory and methods for signal processing and machine learning strong mathematical background good proficiency in programming (preferably in Python) good oral and written