10 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" "UNIV" uni jobs at Nature Careers
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position of a University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl
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team! Your professional field of activity: As a University Assistant (40 hours/week), you will join the research team led by Univ.-Prof. Dr. Radu Ioan Bot. The main research areas of the working group
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and administrative activities of the ZTW under the supervision of the HAITrans research group leader Univ.-Prof. Dragoș Ciobanu, PhD. Your personal sphere of influence: Your future position is within
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of the ZTW under the supervision of the HAITrans research group leader Univ.-Prof. Dragoș Ciobanu, PhD. Your personal sphere of play: Your future position is within the HAITrans research group ( https
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of the Department of Liturgical Studies and Sacramental Theology of the Institute of Historical Theology at the Faculty of Catholic Theology of the University of Vienna (Head of Department: Univ.-Prof. Dr. Hans
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. Neural information coding for efficient spikebased image denoising. Technical Report arXiv:2305.11898, arXiv, May 2023a. URL http: //arxiv.org/abs/2305.11898. arXiv:2305.11898 [cs] type: article. A
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) and four institutes. The position to be filled is based at the Chair of Clinical Psychology of Childhood and Adolescence (Univ.-Prof. Dr. Martina Zemp) at the Institute of Clinical and Health Psychology
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topics in philosophy of mind, epistemology, and philosophy of science, as well as ethics and philosophy of action. Further information can be found here: https://www.univie.ac.at/en/news/new-professorships
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philosophy of science, as well as ethics and philosophy of action. Further information can be found here: https://www.univie.ac.at/en/news/new-professorships/details/kraus-katharina https
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607