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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
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, immunostaining and various aspects of zebrafish genetics. In addition, the scholarship holder will manage with advanced microscopy to visualize muscle cell architecture and dynamics and engage in data analysis
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are looking to fill the position as DDLS fellow in Data-driven precision medicine and diagnostics. Data-driven precision medicine and diagnostics cover data integration, analysis, visualization, and data