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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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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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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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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
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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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. It may also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be
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Parkinson. We use in vitro biophysical analysis to characterise protein aggregates and their formation in combination with advanced live cell fluorescence imaging and cell model development to study protein
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for improving, designing, planning, and performing experiments, with participation of colleagues/collaborators Responsible for designing, planning, and performing SAXS/WAXS analysis The project is in
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purification and characterization of membrane proteins is strongly desirable. Previous experience of biophysical analysis techniques such as ITC, QCMD as well as cryo electron microscopy is highly valuable