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Field
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models and/or decision support systems with health or health service data Proven experience or expertise in health or health services data integration and/or data visualization techniques Participation in
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contribute to visual adaptation in wild-living mammals. We will combine optical measures and imaging of the retina with long-read sequencing of X-chromosome opsin genes within an evolutionary ecology/biology
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text analysis, natural language processing, or image analysis methods. Ability to manage and analyze large datasets (literary corpora, visual archives, cultural databases). Strong interest in
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- and micro-flow LC-HR-MS/MS for comprehensive multi-omics analysis. Proficiency in Python and R (essential) for data analysis, modeling, and visualization. Ability to work effectively within diverse
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visualization. Expertise in data processing and analysis using HPC and Galaxy platform and familiarity with widely used, and field standard software, webtools and packages, including HISAT2, Salmon, Rsubred
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visual communication skills. You like to collaborate with others and have a compelling writing style in German and English. Good command of German is a prerequisite for this position; Knowledge of French
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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vocabulary development. The PhD position is part of the EU Synergy Project SHAPE (https://www.ntnu.edu/shape/home ) which is examining the interaction of language and thought and specifically the visual
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Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data” as a PhD-Position in machine learning. You will work alongside leading experts at the Computational Imaging Research
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have experience or interest in working with new upholstery materials, such as bio-based foams, recycled textiles, or innovative filling and support systems, as well as familiarity with visualization and