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Field
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, and generalized additive models would be a bonus. Skilled in descriptive analysis and applying modern statistical methods in modeling of data. Technical writing and computer programming skills. Strong
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such as cobalt and rare earth elements from dilute sources. The successful candidate will be responsible for applying advanced quantum mechanical methods to model metal–peptide binding interactions, guide
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27 Aug 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country
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methods for detecting and mitigating online harms. Its results aim to inform public health, policy, and technology design, promoting resilience and empowering individuals to understand and counteract
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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to join our team. Our lab focuses on developing and applying innovative statistical machine learning methods, single-cell multi-omics, and systems immunology approaches to investigate immune-mediated
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duties as required. Required Education and Experience PhD in Agricultural Economics Preferred Experience Experience with econometric and business management research methods and analysis Experience with
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Responsibilities: Analyze variety of engineering problems using traditional analytical methods and finite element analysis packages to prove designs meet established design standards. Provide hand calculations
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 35 minutes ago
, particularly in analyzing natural radio emissions (e.g., Jovian DAM or planetary magnetospheric emissions) Proficiency in time-series analysis, spectral estimation, and autocorrelation methods applied
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interdisciplinary field that tackles fundamental questions across all domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics