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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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technologies generate unprecedented volumes of molecular data at cellular resolution, opening new avenues for the application of machine learning to fundamental biological problems. The postdoctoral researchers
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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures
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of ultra-diffuse galaxies; extragalactic tidal phenomena; intra-cluster diffuse light; and galactic cirrus clouds. These measurements will also be compared with other deep-field photometric data (with
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structures and corresponding images) needed for training and validating deep learning (DL) models. Work closely with members of the ICMN nanostructures group or external collaborators. Communicate research
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. The interdisciplinary “Lithosphère-Organosphère-Microbiosphère” team of IPGP has been involved for more than 15 years in the study of the deep biosphere and has developed innovative methods (and acquired all
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, are robust tracers of fluid origin, production mechanisms, and migration pathways. Helium, transported notably by CO₂ and hydrothermal fluids, is a key tracer of mantle contributions and deep sources of H
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In the framework of the PEPR FairCarboN project Deep-C, we offer a five