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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
Table 23 . A reasonable estimate for this position is $71,491-$85,736. Application Window Open date: September 16, 2026 Next review date: Friday, Oct 16, 2026 at 11:59pm (Pacific Time) Apply by this date
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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, Python, R, or comparable platforms). Solid background in signal processing, statistics, time-series analysis, network science, or computational neuroscience. Excellent written, verbal and computer skills
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 16 days ago
research institute. HITS conducts basic research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the
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strategies for estimating archaeological potential, that capture distinct criteria including scientific yield and cost effectiveness. These strategies will then be tested in real field settings (e.g. Turkey
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computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Department Specific Functions Design and synthesize
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, ocean data assimilation, and computational methods for understanding and predicting regional and coastal ocean circulation. This is a full-time position for 2 years, with the possibility of a 3rd year
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modelers, epidemiologists, and economists. Development, calibrate, and extend of microsimulation and compartmental models of tobacco use and lung cancer in R. Receive training in modeling methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
- $63,480 Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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innovative statistical methods. The main focus will be on methods for sample size estimation and reliability for functional data. More applied projects aimed at improving the understanding of movement data may