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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
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intelligence tools for data processing and identifying correlations between non-invasive signatures and electrical performance. Interpersonal skills:: -Rigor and methodology in designing and applying complex
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. - Previous experience in one or more areas of chemoinformatics, drug design and structural biology of protein-ligand complexes. - Proficiency in tools and concepts related to molecular modelling (AlphaFold and
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and protein complexes, pull down - Omics data analysis (RNAseq, ChIPseq, genomic DNA-seq, etc.) - Presenting results in writing and orally - Ensuring the traceability and reliability of results
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communication skills, ability to translate complex ideas into accessible concepts and language tailored to different audiences ■ Fluency in English, both written and spoken Soft skills: ■ Autonomy, rigor, and
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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length, mean free path, etc.). The third area extends the concept of “soft matter” to biological systems. The themes therefore range from complex systems to living tissues, from liquid crystals to foams
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to complex systems. These developments will be carried out within the framework of the ERC TimeNanoLive project, in a highly interdisciplinary environment fostering interactions between instrumentation
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matter" to biological systems. Topics thus range from complex systems to living tissues, from liquid crystals to foams, including polymers and granular systems. These physical studies lie at the interface
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as a model system to probe how cells handle large, complex cargoes. Collagens are the largest and among the most abundant proteins secreted by animals, and their biosynthesis challenges the secretory