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for three weeks of training in higher education teaching and learning. These tasks will be performed: Analysis of time series of active fire and burned area data together with ancillary datasets (e.g. biomass
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data sets and climate model outputs Analytical skills, including experience with multivariate analysis, time-series, and geospatial statistics Previous research experience and publication record Ability
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of individuals living in the continent, providing a basis for the development of personalised medicine and public-health initiatives. The postdoc will be working on a series of use-cases that will demonstrate
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Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST). We especially value candidates with strong technical skills for data-intensive research and statistical modeling. IU Astronomy has
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for LLMs. Experience with time-series data, anomaly detection, or predictive maintenance is a strong plus. Familiarity with industrial datasets and domain-specific challenges is desirable. Excellent problem
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architectures, attention mechanisms, and fine tuning techniques for LLMs. Experience with time-series data, anomaly detection, or predictive maintenance is a strong plus. Familiarity with industrial datasets and
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one or more of the following topics: Computationally intensive methods in Statistics such as Count Time Series, Curve estimation, Environmental Statistics, Forensic Statistics, Stochastic Modelling
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Aug-25 Location: Riverside, California Type: Full-time Categories: Academic/Faculty Internal Number: JPF02131
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9 Oct 2025 Job Information Organisation/Company University of Beira Interior Research Field Engineering » Electrical engineering Engineering » Computer engineering Researcher Profile First Stage
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Contract: Fixed term until March 2028 (possible continuation to an additional few years) Expected start date: 01 Feb 2026 or anytime soon Closed date: 23 Nov. 2025 (however, note that this will be