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Field
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training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
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data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision
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evaluate machine learning and statistical models Assist with experiment tracking, result analysis, and reproducibility Use data visualization tools to visualize data analysis and learning results Contribute
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data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision
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their own vehicle and find their own housing for the duration of the position. QUALIFICATIONS Knowledge of computer programming language(s) for data analysis and visualization Knowledge of spreadsheet
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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to collaborative project across teams within our Center, as well as joined initiatives with external academic and industrial partners Data analysis, interpretation, visualization and integration Keeping an industry
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scientific literature on approaches and methodologies for integrating and visualizing health services data, data quality representation and evaluation, data analysis and predictive modelling in the project's
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 24 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software