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interdisciplinary research on knowledge extraction from social data. Project description The project is in the emerging area of fair social network analysis. In today’s algorithmically-infused society, data about our
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the bachelor's degree and 60 ECTS from the master's) Specific Requirements Desirable skills: Prior experience participating in research projects, including data collection, preprocessing and analysis. Experience
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these services, they create automated methodologies for system analysis, threat detection, and mitigation alongside privacy-enhancing technologies and data protection techniques. Collaborating with industry
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4 Dec 2025 Job Information Organisation/Company Institute of Bioorganic Chemistry Polish Academy of Sciences Department Poznań Doctoral School of the Institutes of the Polish Academy of Sciences
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) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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are the first steps in development of endothelial damage, systematic analysis in pediatric population is not available up to date. You will apply innovative molecular and imaging methods to study the underlying
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learning, probability theory, Real and functional analysis, Information-based complexity Appl Deadline: 2026/01/15 11:59PM (posted 2025/12/04, listed until 2026/01/15) Position Description: Position
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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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(FENG) as part of the First Team competition. Main tasks: Implementation of computational photon counting and methods for data processing and analysis Participation in the development of demonstrators