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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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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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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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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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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 | 17 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
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to games, it speaks to larger challenges in the museum sector. The programme of research is expected to encompass analysis of primary and secondary sources, qualitative research involving developers and
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research. The cluster currently has 10 faculty members, whose research interests include computational geometry and topology, graph and FPT algorithms, algorithms for massive data, geo-visualization, and