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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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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relevant biological pathways and novel pharmacological treatments that target these pathways. Overview of the Position The Hoffman lab seeks a full-time postdoctoral associate to work on the NIMH-funded
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related field by the start date. Research experience with seismic or other geophysical time-series data, as evidenced by peer-reviewed publications, thesis chapters, or conference presentations. Experience
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transitions of information flow networks, near critical events. The successful candidate will: Develop and apply Transfer Entropy estimators to high-frequency financial time series. Characterise the temporal
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local, national and global communities. Connections working at University of California Irvine More Jobs from This Employer https://main.hercjobs.org/jobs/22419092/postdoctoral-scholar-series Return
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, with flexible start dates. As a TRAILS Postdoctoral Associate, you will have the opportunity to pursue your own research agenda, interact with our Institute’s diverse array of researchers, and contribute
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English. More concretely your work package contains: We are seeking a full-time postdoctoral researcher to join an interdisciplinary research team working at the intersection of artificial intelligence
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Medicine Postdoc Appointment Term: Fixed term for one year, with opportunity for renewal Appointment Start Date: September 2026 Group or Departmental Website: https://med.stanford.edu/neonatology.html(link
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to high-frequency financial time series to characterise the temporal acceleration of directional information flows preceding critical episodes. Quantify scale invariance and power-law signatures
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Additional Information Eligibility criteria - Remote sensing (applied to tropical forests) - Knowledge of (tropical) climatology is an advantage - Statistical analysis of time series (correlations, composites