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Field
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, processing and statistical analysis of experimental data, and publishing and presenting research results in scientific journals and at conferences. The successful candidate will also participate in doctoral
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mathematical/statistical modelling and programming (e.g. Python, MATLAB, or similar). A research-oriented attitude and strong motivation to deliver ambitious, high-quality work. Ability to work in an
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motivation for academic research and curiosity about global talent and innovation systems; quantitative analytical skills, including experience with data analysis and statistics; experience with web scraping
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background and research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics); Significant experience with programming (preferably Python). Good
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background and research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics); Significant experience with programming (preferably Python). Good
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
learning (noise robustness, statistical generalisation) with those of symbolic AI (explainability and logical reasoning). The objective of this thesis is to study the contribution of neuro-symbolic
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statistical and computational methods to process and analyze data; You will write international peer-reviewed scientific papers; You will work in a collaborative environment that seeks to improve one another’s
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 2 months ago
Bioinformatics or in Computer Science, Data Science, Statistics, etc. with focus on molecular biology • Strong quantitative and analytical skills, with a keen interest in microbial genomics and host-pathogen
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-offs and synergies of land use decisions desirable Good knowledge of statistics and relevant software products (R, SPSS, jamovi or similar) Good knowledge of analysing spatial data (geoinformation
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skills (e.g., numerical methods, statistical analysis, coding, data management) Good communication skills Ability to work in a team Driving license category B desirable (access to field sites) Your Tasks