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are excited to push the boundaries of 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
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scientists on campus and around 300 quantum researchers in Vienna. The Dakić group is an international team of scientists (Master's, PhDs, and Postdocs). Our expertise encompasses quantum foundations, quantum
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are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student and PhD candidate to postdoc, are working together on mostly
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are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student and PhD candidate to postdoc, are working together on mostly
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are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student, PhD candidate to Postdoc are working together on mostly experimental
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research focuses on the analysis of neuronal networks in the Drosophila brain, and the Hummel team currently consists of postdocs, pre-docs, master students and administrative colleagues who share a common
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: This is part of your personality: Above-average MA in
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of current open science practices (e.g., interest in designing and preparing one of the PhD papers for journal submission as a Registered Report, see https://www.nature.com/articles/s41562-021-01193-7