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University is seeking applications for one full-time, Contract College benefit-eligible postdoctoral associate with one-year appointment. We conduct transdisciplinary research, co-designed with public health
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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computing and reproducible research. (Optional) Experience in time-series analysis, with explicit attention to intraday temporal resolution. Background in network science, statistical physics and complex
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emulation, active-comparator new-user designs, self-controlled case series and case-crossover studies, where appropriate. The role will also involve developing and validating clinical risk prediction models
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engineering and clinical physiology. Projects may involve signal quality assessment, artifact detection, waveform segmentation, feature extraction, hemodynamic modeling, time-series analysis, machine learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
desirable. Candidates with experience in time-series machine learning, advanced data analytics, and programming (Python) are especially encouraged to apply. Special Physical/Mental Requirements Special
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by cryo-electron tomography, including cell culture under BSL-2 containment, vitrification, cryo-FIB milling and tilt-series collection Process tomograms and characterise macromolecular complexes by
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English, with the ability to communicate complex ideas clearly. Ability to work independently on a research agenda while collaborating within a large, multidisciplinary, international consortium
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structural information to complement structural biology techniques. - Design, perform and interpret mass photometry, native MS, HDX-MS and cross-linking MS on a series of mulitprotein complexes
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behavioral data, time-series data, sensor-based data, physiological signals, movement tracking, or related complex datasets. Some knowledge of Unity game engine development and experience with network