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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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). 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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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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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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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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, 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