534 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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Machine Learning ” within the research group “ Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial
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Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
quantum technologies. This research can be complemented by digital methods of process simulation and optimization, as well as machine learning. Requirements include an outstanding PhD in materials science
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analysis to translate THz signals into optical material properties such as refractive index and absorption coefficient. Development of machine learning algorithms for material classification. Exploration
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high-performance computing and AI, the Chief Architect will drive innovations in computer vision, graphics, NeRF-based systems, and real-time spatial intelligence. Beyond research, the role emphasizes
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tabletop, functional, and full-scale drills to test institutional preparedness. Participate in a critique of each drill record lessons learned, and develop improvement plans to address identified shortfalls
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Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science, Physics, Ma
key role in the foundation of interoperable, machine-readable data platforms, powering AI analyses and automated workflows. You will collaborate with top scientists from all subject areas at BAM
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the transfer of new ideas from the lab to real-life applications, improving lives. The Theis Lab at the Computational Health Center is internationally recognized for pioneering methods in machine learning
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candidates would have direct experience with several of the following methodologies: optogenetics, fiber photometry, in vivo calcium imaging, and/or machine-learning-based behavioral assessment. Additionally
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information, military service, or other protected status.
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Grundstufe (praedoc) Reference no.: 5208 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world