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count regime, joint gamma/neutrino studies of VHE data. The requited person will achieve these research studies within the H.E.S.S., CTAO or KM3NeT collaboration. - Gammapy developer (code, test
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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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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
regulatory programs that define their biological state. SysFate is currently based at the National Sequencing Center, Genoscope, in the city of Evry, south of Paris, France. Where to apply Website https
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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of molecular networks • Have knowledge of molecular networking (Molecular Network (MN) and Feature Based Molecular Networking (FBMN)) and similarity algorithms: ie, Cosine score • Master the English language
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regional network of memory clinics in the Hauts-de-France region, and the demographic and clinical data within this database, specifically regarding patients at the memory center (in terms of the sex ratio
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forest vegetation dynamics in Québec across these same time scales. The project will rely on a network of regional study sites, including both short cores (ca. 2,000 years) and long cores (ca. 8,000
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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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ExperienceNone Additional Information Eligibility criteria Knowledge in electromagnetism Design based on full-wave software expertise Skills in clean-room fabrication techniques Website for additional job details
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained