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projects that apply machine learning and advanced computational modeling to integrate multi-omics, clinical, and imaging data for biomarker discovery and mechanistic insights in AD. The position offers
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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experimental data. Maintains accurate research records and performs data entry. Maintains lab safety protocols and training modules. Ensures compliance with EH&S, IACUC, and IBC approved protocols. Performs
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. Demonstration of competences in Computational Biology or overall large-scale sequencing data analyses; b. Proficient in R and Python scripting; c. Experience in analysis of transcriptomic data (RNAseq) enclosing
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
settings. A large part of this position involves maintaining contact with the research subjects, collecting research data, data entry, building research databases, study start up activities, consent
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11 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Science des Matériaux de Mulhouse Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher
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and experience in: Handling and analyzing large datasets of genetic and coronary imaging data. Apply relevant statistical techniques to analyze registry-ascertained health outcomes in women Execute
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findings of bibliometric, quantitative, and qualitative data Assist in the preparation of grant reports Qualifications: Must be a registered McGill student Experience with large, structured literature
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theoretical background in plant-soil interactions, and with experience in analyzing large spatio-temporal data sets and mechanistically modelling soil C processes. Together with the project team, which consists