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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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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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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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methods; statistical methods, geoinformatics (including spatial econometrics), AI methods (e.g. NLP methods - Sentiment Analysis, Topic Modelling, Discourse analysis), visualization methods, as
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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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. 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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of visualizations and presentations of research findings. The person we need You have graduated at Bachelor’s or Master’s level in machine learning, computer science, mathematics, physics, or a related area that is
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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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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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. 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