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Field
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Patient Advisory Groups (PAGs), conducting qualitative interviews, running focus groups, designing and executing large-scale international surveys with quantitative data analysis, and collaborating
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conducts theoretical, methodological and applied research, with emphasis on statistical methodology for large-scale and register-based data and on applications of societal relevance. The successful candidate
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), statistical analysis of LHC data or beyond-the-Standard-Model phenomenology, is meriting. Experience with large-scale training on GPU and HPC systems, with design of experiments and active learning, with open
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services across multiple companies and authorities, thus supporting large virtual enterprises necessary for the development and operation of large-scale enterprises, such as critical infrastructures
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concordance and adverse health outcomes using large -scale healthcare datasets. Working collaboratively with clinicians, researchers, patient partners and data specialists to ensure scientific quality and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
scales, constraining uncertainties in Earth System Models (ESMs). Airborne Campaign Planning & Predictive Mapping: Conducting spatial scoping, observational gap analyses, predictive mapping of canopy
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operation of underground detention systems, laboratory scale treatment of 6PPD-Q using bioretention, and developing treatment systems for nutrients, metals and emerging contaminant removal (totaling 60
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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collaborating across disciplines. Experience with one or more of the following is highly desirable: Large-scale genomic, clinical, imaging, or other biomedical data Haplotype/IBD algorithms, pangenome graphs
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analyses within this large-scale field experiment, working closely with an international consortium of health economists, clinicians and implementation scientists. Join us to help generate the evidence