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ACCE+ DLA programme: Landscape-scale drivers and limits of endangered species spatial and temporal distribution School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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work-life balance. At the division of Applied Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential
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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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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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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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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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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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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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of statistical packages (Stata, R or equivalent). • Experience in spatial analysis and use of Geographic Information Systems (GIS). • Ability to work with large databases and data management tools. Languages