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Type: Hybrid Eligible Sponsorship Eligibility: Not eligible for visa sponsorship Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the
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University of California, Los Angeles | Los Angeles, California | United States | about 24 hours ago
. Position description Dr. Victoria Sork in the Department of Ecology and Evolutionary Biology at UCLA invites applications for a full-time Postdoctoral Scholar position focused on demographic modeling and
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virology, hostvirus interactions, and mechanisms of viral pathogenesis. This position requires technical expertise in molecular biology, cell culture, and animal models, as well as strong organizational and
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: 282551287 Postdoctoral Associate: Integrating political economy insights into energy modeling D-26-SPI-00009 | Research | Princeton School of Public and International Affairs The Peng group in the School
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Workplace Type: On Site Required Sponsorship Eligibility: Not eligible for visa sponsorship Pay Band: 06 Salary: Salary commensurate with education and experience Criminal Background Check: Yes About the
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Research Associate to join a research team advancing the modelling, control, and real‑time validation of power‑electronics‑dominated power systems. This role supports the ARC Discovery Project “Making weak
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: Pioneering the Future of AI-Driven Scientific Discovery! Polymathic AI is looking for full-time Research Scientists to join our team in building next-generation Foundation Models for Science at NYU CDS. Recent
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) Time series modeling, forecasting, and real-time monitoring in dynamic bioeconomic systems Data-driven modeling and intelligent control in bioeconomic systems Out-of-distribution (OOD) generalization in
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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, harmonization, aggregation and analysis of clinical data for a large ophthalmology repository. Extract information from unstructured electronic health record text using large language models (LLMs) and clinical