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date); Good knowledge of analytical methods and/or numerical simulations; Very good command of English, both written and spoken. Essential skills and abilities Experience in machine learning; A strong
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of children, as specified under the Labor Code. For women, this period may also be increased by 18 months for each born or adopted child if this method of accounting for breaks in the scientific career is more
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of hydrogen absorbing alloys with metal nanoparticles experience in half-cell construction experience in conducting electrochemical studies in ionic liquids familiarized with NMR, IR, Raman, SEM/EDS techniques
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Science, Physics, Artificial Intelligence or similar field/ related discipline obtained no more than five years prior to the application date*; 2) proven experience in designing methods for the exploration and
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, including transition metal complexes, experience in working with luminescent substances, including removal of trace luminescent impurities from final compounds, experience of independently working with NMR
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. To this end, we will employ advanced molecular, cellular, and systems biology methods and tools, as well as various research models—from standard cell lines to primary lines and several mouse models
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., computational learning theory, expressiveness of transformers and other models, xAI, formal methods) or equivalent; willingness to conduct research on artificial intelligence/machine learning, combined with
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transcriptomic methods. The selected candidate will contribute to the part of the project focused on the functional studies of the identified proteins and pathways. Depending on their experience and research
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transcriptomic methods. The selected candidate will contribute to the part of the project focused on the functional studies of the identified proteins and pathways. Depending on their experience and research
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methods Physicochemical characterization of MIPs (electrochemical, microscopic, and spectrophotometric measurements, including FTIR and UV–Vis) Fabrication of MIP-based sensors for autoinducer detection