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) at Rice University is seeking a full-time Researcher with expertise in quantitative and qualitative research who can design, plan, implement, and conduct complex and specialized research projects
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analysis, power analysis, mixture models, causal inference, psychometrics, sequential and time series analysis, and/or analyzing large datasets are plusses. Strong data management skills are required
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
We are offering a PhD fellowship in the Copenhagen Center for Glycocalyx Research commencing 1 February 2026, or as soon as possible hereafter. About the Copenhagen Center for Glycocalyx Research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 1 month ago
functions is urgently needed to identify environmental impacts, develop future scenarios and provide policy advice. While the complexity of the interactions call for the use of Machine Learning (ML
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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to enable the extraction of spatiotemporal information from time-series optical data with a focus on years with pronounced forest stress occurrence. The accuracy of the forest trait retrieval method will be
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nature-based solution opposed to traditional ‘grey’ engineering, offer catchment-level solutions by using natural processes to slow and store water through a series of diffused interventions. Historically
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environmental variables to develop LUE, WUE and canopy conductance function for diagnostic mapping of forest ecosystem functioning metrics. We will apply time-series analysis to investigate seasonal and
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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least