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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
for acceleration of parallel applications in the High Performance Computing (HPC) environment, · work in the international team focused on development and optimization of parallel codes under national and
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tested by isothermal titration calorimetry (ITC) or microscale thermophoresis (MST) in collaboration with the lab of Prof. Andy Lovering. In parallel, minibinder/effector pairs will be co-expressed using
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of organic chemistry (Faculty of Science) at Charles
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Research Framework Programme? Horizon Europe Reference Number 101214981 Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Opportunity in Bio-based surfactants
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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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-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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in basic control-flow analysis. Process mining, as it stands today, is primarily based on computational techniques and algorithms to analyze and optimize processes. Methods such as process discovery
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algorithms * Parallel algorithms and distributed computing * Parameterized complexity and structural graph theory * Random structures and randomized algorithms * Sublinear and streaming algorithms
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& Technology and Systems & Networking. The Parallel Computing Systems (PCS) group at the University of Amsterdam performs research on the design, programming and run-time management of parallel and distributed
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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