Sort by
Refine Your Search
-
Bachelor's and Master's teaching, as well as in the teacher training program for Geography and Economic education. The working time of 30 hours/week includes teaching duties of, on average, 13 semester hours
-
the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing
-
for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University of Vienna and the Medical University of Vienna. Dedicated to a mechanistic understanding of
-
expected to support the Department in IT and computing matters. The position comprises 20 hours per week and is initially limited to one year, with the possibility of extension. Your future tasks: Planning
-
for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
-
for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
-
, 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
-
skills Good computer skills Excellent command of written and spoken English Team player with high social/communicative competence Flexibility and commitment What we offer Work-life balance You have
-
or related fields Successful VBC PhD program Selection or similar international PhD Selection required Practical experience in single-molecule biochemistry Experience with basic bioinformatics tools High
-
Faculty of Computer Science Job vacancy starting: 04/01/2025 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 03/31/2028 Job ID: 3620 Who we