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of the unique time-resolved mid-infrared (TRIR) detection capabilities at ACER in this work. This position is funded for the 2-year term. Essential Duties and Responsibilities: Plan and carry out research in
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candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning
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processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices
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engineering tools to develop risk-consistent design criteria for future infrastructure resilience. Reasonable duties will include documenting research processes, preparing manuscripts, assisting in reporting
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Jul-25 Location: Irvine, California Type: Full-time Categories: Academic/Faculty Medical - Clinical Internal
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supported by faculty with diverse expertise, including mentorship teams for each trainee consisting of scientific and clinical investigators, a clinical shadowing program, and a lecture series encompassing a
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 31 minutes ago
biogeochemical model using times series forecasting and machine learning. The Post Doc will focus on one or two of the questions depending on their expertise and interest. Minimum Acceptable Education & Experience
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also pursue multivariate time series analyses of monitoring of coastal fish communities in the Baltic Sea. The post-doc will lead and contribute to related scientific publications, and contribute
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methods tailored for different types of multivariate data, such as time series, spatial data, spatio-temporal data, functional data or tensor-valued observations. The work of the postdoctoral researcher