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research project financed by the National Science Centre “OPUS 29”, agreement no. UMO-2025_57_B_ST6_04377; entitled “Simulation of complex biological systems supported by artificial intelligence: a language
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combines expertise in materials science, chemistry, and nanotechnology. It will provide significant insights into RD systems and their potential to simplify the synthesis of complex materials, laying
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activity in vitro; basic knowledge of bioinformatics, molecular modelling and docking and/or structural analysis of protein–ligand complexes, as well as the ability to use in silico results to guide
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well as isomerization products, which is particularly significant for unsymmetrical substrates. These issues arise mainly from the limitations of established catalysts based on transition-metal complexes (Ni, Rh
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the plant-to-collagen isotope fractionation; and to depict the complexity of the carbon and nitrogen isotopic flux within a plant-to-herbivore trophic network, where the Białowieża Forest is an actualistic
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 14 days ago
therapeutic use. However, traditional medicinal chemistry often restricts itself to low structural complexity molecules that cover only a small portion of the theoretically accessible chemical space. This
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Infrastructure? No Offer Description The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing
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Infrastructure? No Offer Description The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing
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Infrastructure? No Offer Description The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing
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Infrastructure? No Offer Description The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing