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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
stem cell models that allow us to model disease and disease modifying factors. The successful candidate will be responsible for supervising graduate students, post-doctoral fellows, and undergraduate
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or runtime verification techniques for continuous dynamics and hybrid systems; Development of formal verification techniques and their integration in model-based design environments; Model checking of embedded
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business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and
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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
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: 281099154 Postdoctoral Research Associate D-26-ENE-00008 | Research | Andlinger Center for Energy and the Environment The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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-wave and multimessenger signals and to explore challenging regimes of parameter space. Unit URL https://www.uidaho.edu/science/academics/physics Position Qualifications Required Experience Demonstrated
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on projects at the intersection of neuroscience and biomedical engineering. An initial goal will be to model neurostimulation recruitment-curve relationships by extending Bayesian recruitment curve methods
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Type Full time Duration Type Staff Work Model Hybrid Location 100 Church Street South, New Haven, Connecticut Background Check Requirements All candidates for employment will be subject to pre-employment
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, or a related field. Strong skills in data analysis, modeling, and programming. Record of peer-reviewed publications and effective communication skills. Preferred Qualifications Experience with process