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PhD in a relevant field (e.g. political science, statistics, computer science, informatics, economics, or related discipline) with a demonstrated focus on forecasting, statistical modelling, and/or
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inference, bias mitigation, and statistical modelling. Expertise across diverse epidemiologic methods and content areas is welcomed. Develop a research program that incorporates rigorous epidemiologic methods
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nature, including mathematical biology, mathematical geosciences, applied partial differential equations, environmental and spatial statistics, scientific computing, and the scholarship of teaching and
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, at the undergraduate, advanced and PhD levels. We regularly publish solid contributions at the best machine learning conferences. STIMA is characterized by a modern view of the statistical subject, where probabilistic
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Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational
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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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) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning, at the undergraduate, advanced and PhD levels. We regularly
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on this position will be the development and implementation of novel statistical and computational methods with applications to system biology problems and spatial transcriptomics datasets. The work will involve
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, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications ? Substantial expertise in training deep learning models and tuning large
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Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats