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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 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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are looking for candidates with a creative and collaborative spirit and a deep commitment to supporting students, particularly those from underserved groups. We strive to create an office culture that promotes
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the traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past
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University of California, Los Angeles | Los Angeles, California | United States | about 16 hours ago
vascular biology, alongside deep expertise in myocardial biology and the molecular mechanisms of left- and right-ventricular failure. This includes but is not limited to in vitro models (isolation of adult
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science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more
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traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present
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related field). Decent programming skills, especially in Python or JAX. Familiarity with finance theory (asset pricing, derivative pricing, risk management etc.). Familiarity with machine learning or deep
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modelling (e.g., LSTMs) and deep generative/unsupervised anomaly detection techniques (e.g., VAEs). *Strong programming proficiency in Python and familiarity with standard data science and machine learning
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remission - eligible employees and their dependents can obtain a degree TUITION FREE A generous retirement plan and so much more! Salary Grade: T26 Salary Range: $49,250 - $75,000 Learn more about the “T
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Qualifications: Evidence of machine learning or deep learning applied to design workflows (coursework, research, or professional practice) Knowledge of multimodal/multi-model AI orchestrations or agentic AI