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, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at conferences. IMPORTANT: Please specify in
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: https://genomikadlapolski.pl/ ." We are seeking an ambitious individual to join the Laboratory of Genomics IBCH PAS and engage in the work of the G4PL project team, related to the analysis of genomic data
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genetics, with strong bioinformatics/quantitative skills (e.g., in the analysis of NGS data). The work will involve the analysis of archival biological material from past experiments and ongoing
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cleaning of the meditation RCTs, including coding of PICOs and effect sizes; (b) collaborate with Dr. Sun and other members of the lab to conduct meta-analysis and network meta-analysis based on priority
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
Business majors, they should demonstrate a clear interest in finance or economics. A strong quantitative background—particularly in mathematical modelling, statistical analysis, or computational methods—is
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background to next generation power electronic conversion and related measurement in pursuit of Carbon Net Zero? We are seeking motivated interdisciplinary researchers to join the Electrical Energy Management
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoctoral Research Associate: Mathematical and Topological Foundations of Knowledge Analysis in the Science of
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, network analysis, or machine learning are a plus Good organisational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing to a
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, Organization and Interdisciplinary approach. Good skills in numerical methods and statistical analysis is required, very good English (written/spoken). Where to apply Website https://emploi.cnrs.fr/Offres
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deep learning, on the topic “Analysis and Reconstruction of Digital Data Fragments”. This internship is intended for students at M2 level, or in the final year of an engineering school, interested in a