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Field
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role in developing and applying advanced AI foundation models to decode cellular architecture and understand how genetic variation shapes cellular phenotypes and complex human traits. The role will
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gene perturbation, and advanced image analysis methods. You will analyse and present complex imaging datasets, contribute to scientific reports and publications, support laboratory management, and work
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collaboration with graduate students and external partners. MINIMUM QUALIFICATIONS Knowledge of complex systems, network science, bioinformatics, and computational modeling, with the ability to design and
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opportunity to advance your research career within a collaborative and innovative environment. About the Role: As a Postdoctoral Fellow, your work will directly contribute to our understanding of complex
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago
, seasonal and solar cycle dependent variabilities. These different phenomena make characterization of regional ionospheric dynamics a complex problem. New observational capabilities and sophisticated data
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Three-Year Postdoctoral Position: Role of Extracellular Nucleic Acids in Interspecies Communicati...
sensing in methanogenic consortia. This project integrates RNA-biology, anaerobic microbiology, metallomics, secretome analysis, spatial RNA seq, and electrochemistry, to explore the role of eNAs in
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large, complex healthcare datasets, preferably MarketScan or similar Familiarity with ICD, CPT, and NDC coding systems Proficiency in SAS or R for data cleaning and analysis Commitment to writing clear
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analysis of time-frequency, ERP, connectivity, source-estimated, and nonlinear complexity features of EEG signals, as well as machine learning for neural decoding. Mentorship experience, including training
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SPSS, for large and complex data analysis What We Offer The appointment will commence as soon as possible on a 1-year temporary basis, with the possibility of renewal subject to satisfactory performance
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, rigorous analysis, and clear scientific communication ● See software as a scientific contribution that enhances research ● Enjoy collaborative science and exchanging ideas across projects ● Are interested in