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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 12 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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expertise (within the fields of marketing, innovation, or design). The appointment is slated to begin in August 2027. We seek a teacher-scholar to develop and teach courses that focus on digital technologies
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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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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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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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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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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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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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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial