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of undisturbed and post-fire forest dynamics across a diversity of forest types in Oregon and Washington. Employee will learn about forest succession, tree mortality, and post-fire conditions in mature and old
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, all candidates are invited to read carefully the NUSTPB’s Methodology for occupying didactic and research positions: https://posturivacante.upb.ro/wp-content/uploads/2024/04/Methodology-for-occupyng
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designers of their workplace rather than passive recipients of noise measurements. The research will follow an iterative research and development process characterized by deep, on-site engagement with NPICU
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; Machine Learning• Clinical pathways and decision support for patients with acute chest pain• AutoPiX – Explainable Deep Learning for Multimodal and Longitudinal Imaging Biomarkers in Arthritis• Speaking
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practitioners who integrate disciplinary expertise with a deep engagement in social and ecological concerns. The successful candidate must have a strong commitment to excellence in teaching and will be expected
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria The position requires a PhD in machine learning, NLP, causality, or a related discipline, with a strong command of deep
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. Upwelling events bring nutrient rich deep-water to the surface, promoting phytoplankton production through communities dominated by known producers of omega-3. As such, these areas could represent hot-spots
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continual enhancement of service to Purdue students. What We’re Looking For: Deep knowledge of Title IV regulatory requirements and federal aid administration Experience managing large-scale compliance
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Classification Title: INSTRUCTOR/PKY Job Description: You belong at a K-12 teaching and learning environment that’s leading the way! If you are interested in being a part of this dedicated team
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expertise in deep learning. You will be working on a defence funded project with the research focused on the development of multimodal foundation models using data from a broad range of modalities