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no.: 4135 Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international
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research findings. Analyse and interpret research results and findings from the project, using automatic methods with appropriate software. Supervise and teach other members of the research team (e.g. Master
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51 Faculty of Physics Startdate: 01.09.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.08.2028 Reference no.: 4121 Explore and teach
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the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
for isomerization in MOFs: https://doi.org/10.1039/D3QI01065A What we are looking for: A PhD in Chemistry, Materials Science, Physics or a related field Experience in python (ASE, scikit-learn, pytorch) is essential
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for candidates to have the following skills and experience: Essential criteria PhD or equivalent experience in relevant area. Knowledge or interest in Natural Language Processing, ideally as applied to big
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, challenging project. Learning on the job isn't just a benefit – it's a must. Education, Qualifications and Experience Essential Criteria Applicants should hold a PhD in a relevant area of Engineering
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Learning, Algorithms, Noise Handling (Error Correction/Mitigation), and Verification. These roles are part of the Quantum Software Lab (QSL, link: https://www.quantumsoftwarelab.com ), in collaboration with
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. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You actively participate in research, teaching and administration, which means: You build up an independent research profile in
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primarily on structural analysis of protein complexes and will best suit a candidate with a PhD and relevant experience in protein biochemistry and structural biology, specifically cryo-EM/ET. The second post