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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Czech Republic Application Deadline 31 Oct 2025 - 23:00 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting
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have largely operated in parallel, leaving significant opportunities for synergy unexplored. By integrating the two domains, process mining can benefit from visual analytics’ expertise in handling multi
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and will provide support to parallel spin-off and EU projects investigating the synthesis of novel bio-based surfactants. The synthesis of promising candidates will be scaled up to the kilogram scale
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activation processes catalyzed by transition metals. In parallel, we work on the design and synthesis of bifunctional compounds for selective catalytic reactions. In particular, we are interested in
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systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and
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scan speed. In parallel, the fabrication of composition-graded structures requires combined control of laser power, scan speed and powder feed ratios, continuously responding to the changing process
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the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid, AllScale and the ENTICE project. We
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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian