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The Department of Mathematics and Mathematical Statistics, Umeå University, invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna
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Lund University employee Work at Lund University Work duties and areas of responsibility The postdoctoral position involves experimental work, data analysis, as well as compilation and interpretation
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We are seeking a highly motivated person to conduct research in economic modelling of forest resources to support analysis of environmental and climate change issues. About the position The project
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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will include clinical and biomedical research projects. It will also involve methodological development aimed at combining imaging techniques and data analysis to provide a more integrated understanding
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to the development of Ecological Risk Analysis Tables (ERATs) to support the development of coastal management accounting for climate change and species interactions. The post-doc will have an important role in
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publications and conference presentations. Maintaining clear, well-documented, and reproducible analysis workflows is essential to the role. Eligibility A person who has been awarded a doctorate or a foreign
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern