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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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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
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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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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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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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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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; • characterization of quantum correlations, entanglement, nonlocality; • machine learning for optimization problems. Website for additional job details https://mfi.ug.edu.pl/strona/112497/konkurs-na-stanowisko-post
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Profile Leading Researcher (R4) Positions PhD Positions Country Poland Application Deadline 29 Dec 2025 - 00:00 (Europe/Brussels) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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spectroscopy (e.g. CD, FTIR, NIR), fluorescence techniques (e.g. fluorescence anisotropy, time-resolved fluorescence, fluorescence lifetime imaging), HPLC chromatography and the application of machine learning
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the necessary interface between the computer and the neural network of the human retina in vivo – without introducing additional modifications to our organisms. Such an interface could, in turn, be developed