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. Courses requiring Tutors: Summer semester: (beginning of May through mid-Aug) Data Visualization & Storytelling Multivariate Statistical Analysis Natural Language Processing We are also interested in hiring
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. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 10 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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information science program  Demonstrated interest in supporting qualitative and/or quantitative data collection, analysis, and visualization across academic disciplines Interest in, experience and/or coursework
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purchases, including computer hardware and software and audio-visual equipment, and supports procurement activities for the instructional lab team. In collaboration with the Instructional Aid Manager, the
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support ongoing research by running basic analysis, collecting data, or performing non-technical research such as literature surveys or reports on technical solutions and best practices. This is an
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; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light sheet microscopy and data analysis, miniendoscopes application in a
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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focus on performing analysis of the data and computational modelling of neuro-circuits. The project will be carried out with Professor Daniele Faccio at the Advanced Research Centre, University of
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Questionnaires, Body Weights). · Data analysis and visualization skills (Power BI, Excel, R, Python, etc.). · Previous interdisciplinary work and communication within a comprehensive high-performance environment