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of extracellular vesicles Experience in handling medical/clinical samples Experience in protein and RNA analysis Experience in data analysis and data visualization Experience in COMSOL and Python programming We
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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will be placed on personal qualities and suitability. The workplace You will belong to the Department of Science and Technology (ITN) which is known for its activities in logistics, visualization and
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+ mobilizations and the rise 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
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within the University of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in
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. Image analysis, data visualization, or programming. The position is full-time and limited to 6 months. Application Your application should be written in Swedish or English and submitted via the e
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plant responses to applied forces, and fusing interaction-derived signals with visual data for anomaly detection under field-relevant conditions. This postdoctoral scholarship is financed by the KEMPE
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Analyze, organize, and curate datasets generated using scattering techniques (e.g. SAXS/SANS) and microscopy (e.g. electron microscopy) Assist with data processing, visualization, and interpretation under
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application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
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. The department is BTH’s largest department at BTH with 70 people. At the department, research is conducted in two major areas: computer science and engineering and visual and interactive computer science