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demonstration of experience in quantitative research. PREFERRED: Experience with machine learning methods for time-series analysis; anomaly and changepoint detection, or instrument diagnostics; familiarity with
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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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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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-derived cultures. Histology, including tissue fixation, embedding, cryosectioning, paraffin sectioning, staining, and quantitative tissue analysis. Advanced microscopy, including confocal microscopy, super
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
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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://peoria.medicine.uic.edu/ . This position is intended to be eligible for benefits . This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents
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, or chaotic neural networks. Experience with network dynamics. Experience with time-series analysis. Experience with stochastic processes. Experience with computational modeling of biological systems
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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
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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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profiling approaches. Experience working with human tissue, particularly formalin-fixed, paraffin-embedded (FFPE) tissue. Experience with RNA sequencing, transcriptomic analysis, or other high-dimensional