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. b (postdoc) Limited contract until: 14.10.2032 Job ID: 5906 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us
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chemistry. Working with us means learning something new every day. You will be affiliated with the research project, with the working title Q4-BIO, where we open a new field of research around quantum tools
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
” models in the context of the Human Cell Atlas and the European Lab for Learning & Intelligent Systems , powered by large-scale single-cell, spatial, and CRISPR perturbation profiling; Tissue immunology
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lit. b (postdoc) Limited contract until: Job ID: 5948 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if
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. Our research focuses broadly on algorithm design and its connections to optimization, graph theory, and the foundations of machine learning. Recent work has centered on developing fast, dynamic
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Scientist 47 Faculty of Psychology Startdate: 01.11.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5924 Explore and teach at the University of Vienna
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Scientist 47 Faculty of Psychology Job vacancy starting: 01.11.2026 | Working hours: 40.00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: Job ID: 5924 Explore and teach
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. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start of the contract is the 1st of September 2026 or later, the exact starting date is negotiable. The duration
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start of the contract is the 1st of September
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gravitational effects on 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