1,565 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Germany
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to contact Jessica Karsten Recruiter Phone: +49 251 48880 310 https://www.forschungsfertigung-batteriezelle.fraunhofer.de/ Fraunhofer Research Institution for Battery Cell Production FFB
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research of mobile and optical communication networks and systems, as well as in machine learning, computer vision, and the compression of digital video. Become a part of our team and join us on our journey
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the research area of Operations Research with a focus on Artificial Intelligence, especially data driven optimization and machine learning. Teaching responsibilities include courses in the university’s
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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analysis expertise. It would be great if you can bring some basic project management experience to the table. Perhaps you even have some knowledge of machine learning, artificial intelligence, or wind energy
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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster of Excellence TERRA CIN LEAD Graduate School
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Bewerbung, abrufbar unter https://portal.mytum.de/kompass/datenschutz/Bewerbung/. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent
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information retrieval, data integration, machine learning/AI, LLMs, knowledge graphs excited to use vector databases, e.g. integrating deepset haystack for RAG interested in experimenting with solr, postgres
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skills, ability to interact with scientists at different levels good software design skills and the ability to write clean, and reusable code in machine learning, deep learning frameworks, such as