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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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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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will develop and operate a reproducible computational workflow that combines molecular and periodic electronic-structure calculations, and when appropriate time‑dependent methods. The workflow will be
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours 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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and future climate scenarios—including counterfactuals—and integrating them with health surveillance and related data to estimate climate-attributable risk under Deep Uncertainty. The candidate will
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), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological
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on the developing and applying methods for estimating the causal treatment effects on health outcomes in older adults, with an emphasis on dementia. The Mission of the P-HOPER Center is to conduct innovative
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of psychiatric epidemiology and dimensional approaches to mental health measurement - Expertise in longitudinal data analysis and advanced statistical methods - Proficiency in statistical programming (R, SAS
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of reliable and robust deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners