84 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at Nature Careers in Austria
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23rd, 2025 until filled About the Position ISTA (www.ista.ac.at ) is seeking a highly skilled Staff Scientist in Computational Structural Biology to support and advance the Institute’s structural biology
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Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. • An excellent
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their passion and determination? We are currently seeking a/an University assistant predoctoral - researchgroup DM & ML 39 Faculty of Computer Science Startdate: 01.02.2026 | Working hours: 30 | Collective
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for a University assistant predoc in Software Architectures 39 Faculty of Computer Science Startdate: 01.12.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc
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resolution down to sub-1 µm with ablation rates up to 500 Hz. Today this platform is at the forefront of elemental bio-imaging, referring to the measurement of endogenous and exogenous metal distributions in
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angiosperm flower evolved? How is morphological diversity distributed among taxa? Why are certain morphologies common and have evolved repeatedly while others are rare? We address these and related questions
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12 months. Work-life balance: 30 hours that can be distributed over the entire week. Inspiring working atmosphere: You are part of an international team with excellent research infrastructure. Good
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. M.Sc. in Business or Adjacent disciplines such as economics, psychology, engineering or computer sciences: e.g. M.Sc. in economics, M.Sc. in industrial engineering, M.Sc. in information management, M.Sc
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, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear
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working across topics and will: Plan, develop and apply advanced computational methodologies to gain fundamental biological insight in the context of diverse single-cell datasets. Drive innovation and