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; experience with neural data analysis. • Strong analytical skills. • Excellent publication record demonstrating the ability of independent research. • Fluency in both spoken and written English. • Ability
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integrated with new user-friendly visual data processing applications for metabolomics data analyses in life-sciences, which can be used locally, in the cloud and in the Galaxy workflow system. The successful
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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studies. Job Duties Plan, directs and conducts advanced research experiments using mass spectrometry. Develops, implement and manage computational workflows and data analysis pipelines for processing and
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statistical analyses using administrative data - Produce visualizations and tables with results from statistical analysis - Draft manuscripts for peer-reviewed journals - Prepare and present
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oceanography with demonstrated strengths in large data analysis, multivariate statistics, acoustic theory, and optical theory. The position will be primarily located in the Lewes Campus of the University
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analysis of single cell multi-omics data. The researcher will have the support and resources from the Bioinformatics Unit at VHIO. Responsibilities Analyze and integrate high-throughput sequencing data
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techniques and sophisticated neural data analysis to study how objects are represented in the activity of large populations of neurons across the visual hierarchy and beyond and (iii) causally relate
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position will be placed in the ISOVIS group (http://cs.lnu.se/isovis/ ), led by Professor Andreas Kerren. The research group mainly focuses on the explorative analysis and visualization of typically large