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time series, the Applicant should have least one manuscript in Peer Review describing a Study of Evolutionary Time Series or related analysis. The Applicant should have a valid Driver’s License and be
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, mixed effects modeling, and time-series/survival analysis. In addition to carrying out statistical studies, incumbent will assist with manuscript development/writing, as well grant writing
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any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images
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for the PREP program. The PREP program eligibility requirements can be found at https://postbac.ucsf.edu/apply . Appointees in the Specialist series will be expected to engage in specialized research
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found in the Research Administration Series Competency Matrix, https://hr.umich.edu/sites/default/files/2019_research_admin_competency_matrix.pdf. Required Qualifications* Bachelor's degree in accounting
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Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 22 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not Applicable
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and computer programming skills. The objective of this research is failure and damage detection in the petroleum artificial lift process using the operational data signal analysis (time series analysis
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 17-Dec-25 Type: Full-time Categories: Social Work Staff/Administrative Internal Number: R141666 The Gambling
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Deadline 15 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 10 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | about 15 hours ago
clinicians and healthcare partners. Main thematic axes AI-based predictive modeling in healthcare Risk prediction, outcome forecasting, and early warning systems Time-series and multimodal deep learning