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First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 22 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-Jan-26 Location: Riverside, California Type: Full-time Categories: Academic/Faculty Internal Number: JPF02206
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University of California, San Francisco | San Francisco, California | United States | about 6 hours ago
these insights to improve patient care and reduce false alarms in bedside monitoring. The ideal candidate will leverage their experience with complex data analysis, in particular time-series data analysis
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. Connections working at University of California Los Angeles More Jobs from This Employer https://main.hercjobs.org/jobs/21898717/project-scientist-series-pool-ad-open-ranks-in-the-department-of-neurosurgery
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of the platform, as it will help them reduce the time needed to find proper employees or adapt their curricula to the requirements of the market. Based on the results of the analyses, a series of recommendations
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of the platform, as it will help them reduce the time needed to find proper employees or adapt their curricula to the requirements of the market. Based on the results of the analyses, a series of recommendations
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-Exempt. See Specialist Series Exempt table and Specialist Series Non-Exempt table . Application Window Open date: July 3, 2025 Next review date: Sunday, Jan 18, 2026 at 11:59pm (Pacific Time) Apply by
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, Categorical Data Analysis, Optimization, Time Series Analysis, Survival Analysis, Actuarial Mathematics, Data Mining and Bayesian Statistics are welcome. Candidates are also expected to teach post graduate
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in the context of clinical research; Experience in the application of nonlinear methods with application to health time series, such as the heartbeat; Good knowledge of the English language; Present a
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of Arts and Sciences, Department of Biology invites Applications for a full-time Post-Doctoral Researcher with experience in the area of the statistical analysis of multivariate evolutionary time series