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interest in social science applications, and with strong competence in statistics and machine learning. The successful candidate will develop predictive models using machine learning and work alongside other
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work with data obtained from omics studies with spatial resolution. They will lead the analysis and plan functional studies derived from them. It is expected that the analysis of the data, together
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multiparameter immunophenotyping, transcriptomics, proteomics, leukocyte functional assays, and statistical and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ
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and spatial genomic or imaging data, and multimodal integration Expertise in statistical causal discovery and inference Publications or open-source contributions in generative models Strong interest in
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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Generation Programme-Spain’s Recovery, Transformation and Resilience Plan 1. First project in which the successful applicant will collaborate: 1.1. Name of the project: “Impact of the spatial-temporal
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Computer science » Digital systems Computer science » Programming Computer science » Systems design Mathematics » Algorithms Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country Belgium
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11 Dec 2025 Job Information Organisation/Company MARIA CURIE-SKLODOWSKA UNIVERSITY IN LUBLIN Department Faculty of Earth Sciences and Spatial Management Research Field Environmental science » Water
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screen. https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses
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happens in source areas is also essential for interpreting developments in nature reserves. You will be responsible for: statistical evaluation of air-quality monitoring network designs, including