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seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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The Pluskal lab at IOCB Prague combines cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
); and propagation of physics-traceable soil moisture uncertainty into precipitation estimates. Machine learning approaches are welcome as tools within this framework — for example, learning the space–time
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
-series. Experience exploring machine learning and deep learning techniques for geospatial applications is highly desirable to effectively engage with Earth observation foundation models. Technical
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
include advancing foliar trait retrieval algorithms, atmospheric correction over dense humid tropical canopies, machine learning and dimensionality reduction for handling big data, landscape evolution
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, requiring the application of space engineering methods. General Requirements A PhD in physics or chemistry In-depth knowledge of space engineering Excellent written and spoken English some experience with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status Questions about this opportunity? Please email [email protected] Qualifications PhD in Earth
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PhD (or equivalent) except the dissertation. The PhD should be in psychology, education, cognitive science, or a related field Additional qualifications (required at time of start) -1 year or more of
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
focuses on developing innovative technologies to enable in vivo cell engineering (e.g., in vivo CAR T cells) for immunotherapies against cancer, autoimmune disorders, and infectious diseases. The successful
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author publications. Great writing skills, motivated and driven to publish. Additional Qualifications: Background in bioinformatics systems, connectomics network analysis and machine learning modeling