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- National Centre for Nuclear Research
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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
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laser light operation of general laboratory equipment as well as specialized instruments used in laser laboratories operation of computer equipment, email, and standard software (e.g., Word, PowerPoint
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• experience in working with a synthesizer (knowledge of phosphoramidite chemistry preferred) • ability to prepare the text of a scientific publication and present the results • knowledge of computer programs
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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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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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development) including robotics, computer vision, natural language processing, information organization and retrieval, biomedical application and machine learning. Author of at least 2 research papers in topics
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++; knowledge of machine learning, deep learning, neural networks; LanguagesPOLISHLevelExcellent Additional Information Selection process Competition application should include a letter of application to
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methods and potential application of machine learning techniques. Good command of English (B2/C1). The candidate will be responsible for carrying out tasks related to the analysis of experimental data
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implementation of research projects financed from national and international sources (e.g. NCN, Horizon Europe, ESA). Specific Requirements Research experience in computer science, artificial intelligence, machine
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, lasers, photochemistry; - An aptitude for experimental research work; - The ability to learn and assimilate knowledge quickly; ability to work in a team; - Proficiency in written and spoken English