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emphasis on one of the following specializations: machine learning, including machine-assisted theorem proving, numerical analysis, statistics and probability. Documented experience in industry, insurance
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problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine learning Type of programme/project/ undertaking MAESTRO-16 Funding institution National Science Centre
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is modelling and optimization using molecular dynamics and machine learning. The position is part of a team looking at these fascinating systems from their fundamental properties and making them in
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for Nuclear Research (NCBJ) is inviting applications for a position PhD student - scholarship (machine learning-driven modeling of metallic glasses) Location: Otwock - Świerk - in the outskirts of Warsaw with
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25 Nov 2025 Job Information Organisation/Company Military University of Technology - Wojskowa Akademia Techniczna Department Faculty of Security, Logistics and Management Research Field Other
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of: software engineering, artificial intelligence, machine learning, metaheuristics or bioinformatics is required. The konwledge of practical issues related to software development are important. The issues
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Wyższa Szkoła Informatyki i Zarządzania/Univeristy of Information Technology and Management | Poland | 14 days ago
will instruct on the use of computer graphics in projects and the principles of designing graphical user interfaces for websites. Teaching hours: 15 hours per group, 4 groups in total (60 hours). Where
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automation and simulation-driven optimization of high-frequency systems using machine learning * development of optimization algorithms and numerical modeling procedures * development of simulation models
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Engineering; knowledge of English at a level sufficient to teach foreign students; documented experience in managing research projects; publications in scientific journals with a high Impact Factor; experience
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning