146 parallel-computing-numerical-methods positions at University of Vienna in Austria
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Other Positions Country Austria Application Deadline 15 Apr 2025 - 23:59 (Europe/Vienna) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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are looking for a/an Doctoral School Program Manager 74 Max Perutz Labs Job vacancy starting: 05/17/2025 (MM-DD-YYYY) | Working hours: 40,00 | Classification CBA: §54 VwGr. IVa Limited contract until: Job ID
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Other Positions Country Austria Application Deadline 15 Apr 2025 - 23:59 (Europe/Vienna) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
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by the teams are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms of machine learning. Our ideal candidate will have prior
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Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties
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motivated candidate to pursue his/her doctoral thesis within the research fields covered by our research group. These could be, for instance, theoretical and numerical improvements of FLEXPART, development
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, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant The Faculty
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Materials lead by Professor Freddy Kleitz at the University of Vienna mainly focusses on the development of nanoporous materials, their characterization, and their applications in numerous fields, such as
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, i.e: You conduct research and professional development projects in the field of chemistry education using qualitative and quantitative methods You reflect on educational research and development from a