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. Additional Desired Qualifications: Demonstrated success in collaborative environments. Experience with NASA remote sensing data and machine learning. Experience communicating scientific concepts to wide
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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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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
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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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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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | 1 day agoprovided by the Engineering Teaching and Learning Team, the Queen’s Centre for Teaching and Learning, the Department, and Smith Engineering. The Department of Electrical and Computer Engineering has 36 full
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an industry partner. Experience with research software, data pipelines, and simulations, machine learning, high-performance computing, CANFAR, or advanced data systems. Evidence of mentoring or supervising
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Skip to main content Recruit Home Open Recruitments Chemical and Biomolecular Engineering: Postdoctoral Employee - in vivo cell engineering (JPF11226) Chemical and Biomolecular Engineering
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expertise in chemistry, biochemistry, and molecular biology. Experience in biomarker discovery. 3 year coding experience in machine learning with facility in Python, PyTorch, R, coding neural nets. Salary and
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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