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for advanced statistical and time-series analyses. They will analyse behavioral, EEG and eye-tracking data collected during prolonged experimental sessions. The research will focus on the modelling and
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-tracking data. A major part of the work will focus on the preprocessing and analysis of multimodal time-series data. The research will specifically contribute to testing the Three-Component Model (TCM
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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Dynamics Investigation (GEDI) and ECOSTRESS instruments with Sentinel and Landsat time series to characterize vegetation structure, ecosystem water stress, wildfire severity, and post-fire recovery. Research
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Accountant I Apply now Job no: 562169 Work type: Staff Location: Fresno Categories: Unit 9 - CSUEU - Technical Support Services, Finance/Accounting, Probationary, Full Time Position Description
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the project. Due to the nature of this project, preference will be given to candidates with experience in the reduction and analysis of X-ray, radio or other time-series data, and in scientific programming in
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spatial analysis of strandings data, including trend and time-series analysis. 6. Produce descriptive statistics, tables, figures and distribution maps, together with the analytical and interpretive content
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Role: Postdoctoral Research Associate in Geoeconomic Policy Discourse and Justification Mechanisms Grade and Salary: Grade 7 - £37,694 - £47,389 per annum FTE and working pattern: Full Time (1FTE
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Role: Postdoctoral Research Associate in the Comparative Political Economy of Market Competition Grade and Salary: Grade 7 - £37,694 - £47,389 per annum FTE and working pattern: Full Time (1FTE
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in