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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 NanoLund, Lund University's large interdisciplinary research Centre on nanoscience and nanotechnology. A significant proportion of the research conducted at the department is in the field
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(LES). Strong knowledge in the analysis of large DNS and LES datasets, and the ability to use this data to develop reduced-order models for combustion simulations. Strong analytical skills and a proven
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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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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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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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of large bandgap semiconductors has been at the international forefront. More information can be found at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key
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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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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
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences . The Centre for Mathematical Sciences is an