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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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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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logistics and packaging, with a focus on Industry 5.0 and circular food systems. Development of data-driven models and frameworks to improve supply chain resilience and energy efficiency. Mapping and analysis
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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, such as diet and nutrition evolves, working closely in collaboration with PhD student(s), or 2) phylogenetic comparative methods / meta-analysis to understand how evolution of sexual dimorphism has
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for the position: PhD in a biomedical field or in image analysis. Extensive experience in confocal microscopy, live-cell microscopy, and analysis of live-cell microscopy data. Additional qualifications
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, as well as handling bioinformatics tasks such such as running analysis pipelines, performing quality control, and conducting downstream data analyses. You are expected to actively contribute to method
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that require detailed and advanced data analysis, coupled with modelling. The position will be hosted at Lund University’s Division of Synchrotron Radiation Research, and the workplace will be in Lund, Sweden
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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both