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Work duties and responsibilities We are looking for two project assistants who will primarily focus on processing and analyzing large sets of medical brain imaging data. We have amassed large quantities
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' at the Faculty of Science, 'Algebra, Analysis, and Dynamical Systems,' 'Applied Mathematics,' and 'Computer Vision and Machine Learning' at the Faculty of Engineering, as well as Mathematical
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on processing and analyzing large-scale proteomics datasets. The Project Assistant will develop workstreams and execute existing omics and machine learning-based pipelines to process and postprocess this data
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duties and areas of responsibility As an assistant researcher within the research group, you are responsible for analyzing data in our studies. Your tasks mainly include the analysis of genetic data and
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of anti-gender and far-right movements amid democratic decline. Central to the tasks is to contribute to combining social science theory with quantitative data and AI methods. You will also participate in
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develops over time, and how this development is affected by lack of mechanical stimulation, using a large animal model. The technical goal includes to develop, perform and analyse data from high resolution
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with relevant functional safety standards such as EN ISO 13849, EN 62061, or IEC 61508 Knowledge of control systems, PLC programming, or automation technologies Experience working in large-scale
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applying for major research grants, particularly at the European level. We also require support in identifying and securing large-scale funding to establish national competence centres and graduate schools
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groups at the Centre for Mathematical Sciences. In total we are around 200 researchers, whereof 110 PhD students, with a large portion of interdisciplinary research. ELLIIT in Lund is a part of the
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or