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English Desirable qualifications Research experience in HCI, Responsible AI, Social Computing, or a related area Experience with one or more relevant methods mentioned above Interest in interdisciplinary
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Other Graz, Austria Apply University of Graz, Austria Department of Mathematics and Scientific Computing Heinrichstrasse 36 8010 Graz Austria The address could not be found. Your Responsibilities
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Computing. Example topics for the group include how people understand and respond to technological harm, and how organizations can build responsible AI into the innovation process. We use a mixed-methods
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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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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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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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Phd/doctoral Graz, Austria Apply University of Graz Mathematics and Scientific Computing Universitätsplatz 3 8010 Graz Austria The address could not be found. The Department of Mathematics and
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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
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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
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entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum