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). This position offers a unique opportunity to collaborate closely with researchers across the Division of Marine Technology at Chalmers University, with a focus on maritime transportation risk analysis. Project
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providing autonomous solutions to optimise the cost of monitoring programmes. We’re looking for a postdoctoral researcher to join this effort, combining tools from statistical learning, sparse data analysis
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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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experiments, molecular cloning, cell culture, and standard laboratory methods such as flow cytometry and RT-qPCR. The computational work includes, for example, the analysis of omics data and computational
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data acquisition) and profound skills in XANES & EXAFS data analysis Strong track record of publications in X-ray spectroscopy and a strong drive towards research publications Proficiency in English
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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, planning, and performing image analysis The project is in collaboration with international partners, active interaction as a team member is expected Support of relevant user beamtime, i.e. collaborators
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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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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
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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