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of Aeronautics, collaborating with experts in DNS/LES, dynamical systems, and data‑driven modelling. Hands‑on experience with high‑performance computing, advanced numerical methods, and ensemble‑based optimisation
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financial models for capturing complex market dynamics . Assets, principal investigator Prof. Dr. Ciprian Andrei Tudor. The position is limited until 30/06/2026. Applicants with a solid practical experience
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financial models for capturing complex market dynamics . Assets, principal investigator Prof. Dr. Ciprian Andrei Tudor. The position is for a fixed term until June 30, 2026. Applicants with a solid practical
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The successful candidate will pursue doctoral research in group actions, geometric structures, and smooth dynamics under the supervision of Prof. K. Melnick, within the Department of Mathematics
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of the optical localization system for mobile robots in dynamic and unstructured environments. Main activities • Development of an optical localization method for mobile robots operating in indoor and/or outdoor
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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carbon below the surface to sustain roots and symbiotic mycorrhizal fungi, forming a dynamic exchange network that governs water and nutrient uptake. Despite its importance, this underground system remains
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carbon below the surface to sustain roots and symbiotic mycorrhizal fungi, forming a dynamic exchange network that governs water and nutrient uptake. Despite its importance, this underground system remains
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 1 day ago
7 Mar 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Computer science » Computer
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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training