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Infrastructure? No Offer Description The goal of this project is to elucidate the influence of phospholipid bilayers and their models on interactions of biological peptides and related molecules with copper ions
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. The project focuses on the development of trustworthy, transparent, open and explainable Artificial Intelligence methods and their application in complex and dynamic environments. The TUAI consortium brings
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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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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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an ecosystem. Our preliminary data suggests that this may be the case. If this hypothesis will be confirmed, it would mean that several independent baselines should be included in the isotope flux models, even
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
CtBP-mediated transcriptional repression and reorganizes transcriptional corepressor complexes. By integrating molecular biology, cell biology, quantitative microscopy, biochemistry, proteomics, and
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 3 days ago
genetic engineering. Candidates should be familiar with single-cell and/or spatial RNA-sequencing and mice models to develop multi-omics method for profiling of intraocular tumours. The successful candidate
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries