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AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI: Including
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eine Verlängerung auf insgesamt maximal 4 Jahre möglich. Über das Team Werden Sie Teil der Forschungsgruppe „Responsible Machine Learning (ML)“ an der Fakultät für Informatik. Unter der Leitung von
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learning” • Participation in ongoing research projects as well as the development of new research initiatives in the fields of mathematics of machine learning, optimal transport, classification algorithms
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responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI
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methods for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data-efficient and uncertainty-aware modeling, enhanced sampling, and statistical
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, automated data capture, ingestion, and structuring pipelines for all experimental test sequences.- You will apply machine learning, surrogate modeling, and active learning algorithms to link testing
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international research projects, including projects on multimodal and linguistic aspects of teaching and learning mathematics, embodiment in mathematics, and inclusive mathematics education Teaching and
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Scientific Computing at the University Graz is looking for a University Assistant without doctorate (m/f/d) https://jobs.uni-graz.at/en/jobs/d410d7e9-83e7-4721-9725-a360316e7bcd • Application deadline
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across Europe. The tenure-track position is embedded in an active and stimulating research environment at the University of Vienna. Located in the Department of Functional and Evolutionary Ecology ( https
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of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale up multiphoton