1,549 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions in Germany
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to environmental cues. Innovation drivers include the development of advanced technologies and the full integration of complex computational approaches to answer relevant biological questions. To learn more about
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training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning
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Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and explore
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: f.mirzapour@tum.de More Information http://www.bpm.ph.tum.de
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based on our own machine learning models and it supports research in our field. The system consists of a multi-node environment, with an Elasticsearch database, data pipelines in Go and Python Data is
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environmentally friendly chemistry, in applications for the aerospace and military sectors as well as in life-cycle assessments, recycling and sustainability concepts – which you could soon help to create
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information of TUM. Kontakt: Dominik.bucher@tum.de More Information http://www.bucherlab.org
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of TUM. Kontakt: k.alim@tum.de More Information http://www.bpm.ph.tum.de
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), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot, Marvin Wright, Vanessa Didelez), and etiologic and molecular epidemiology (Konrad Stopsack
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: active learning (uncertain cases first), smart sampling, confidence thresholds, gradations (auto-label/review/manual), measurement and decision logic for throughput vs. quality. Proficiency in programming