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skills: Knowledge of vertebrate skeletal morphology (mammals and/or reptiles). Skills in database management and integration of large, multi-source datasets. Familiarity with GIS, phylogenetic, or modeling
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material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
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”, “Firstname_Lastname_cover_letter”. Include links to code examples in your CV (e.g., GitHub page, past project repositories). Position Requirements A recent PhD (completed within 5 years, or soon to be completed) in computer science
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postdoctoral position in database systems with a strong theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as
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of our applications. Benefit to ALCF: This postdoc position will help ALCF evaluate and integrate data infrastructure needed to better facilitate AI models, including training, fine-tuning and inferencing
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assigning duties that are logically related to the position. Minimum Qualifications Applicants must have fulfilled all requirements for the award of a PhD or equivalent qualification in a relevant field by
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and conduct cutting-edge research on disease dynamics and epidemiological modeling. The candidate will develop and apply mathematical and computational models to understand the transmission, evolution
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
, in collaboration with Drs. David Lu and Steven Raman, in the Department of Radiological Sciences. The position requires an PhD and/or an MD degree and demonstrated track record conducting research in
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. This is an entry level position for a candidate who has recently completed a PhD in transportation engineering or planning, air pollution modeling, health impact and risk assessment of air pollution and/or
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to incorporate these methods into models based on systematic testing and validation relative to current and historical data. This position will work closely with Virginia’s Land Use-Value Assessment Program