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Field
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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior
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of influence: You will join the group of University Professor Sarah R Davies, which focuses on Technosciences, Materiality, and Digital Cultures and which studies the digital as material practice in contexts in
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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ICT systems and services. We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting
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and programming experience (e.g. R, Python) are required. Experience with psychophysiological methods, such as eye tracking and skin conductance, is advantageous. Excellent academic merits, including
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Platform for a Sustainable and Competitive Maritime Industry (tentative name) " (FY2025-FY2030, PI: Yasumasa Miyazawa), for the "Key and Advanced Technology R&D Through Cross-Community Collaboration Program
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; b) programming skills (experience with SAS, R and/or latent class analysis are particularly desirable); c) content knowledge in obesity, appetitive behaviors, and/or behavioral genetics; d) peer
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communication and strong interpersonal skills. Proficient in at least either SAS or R. Experience with SQL, other statistical software, and programming languages is a bonus. Willingness to learn new statistical
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transcriptomics. You possess strong programming skills in Python, R, or another relevant language. Your experience includes working with bioinformatics tools and databases, as well as multi-omics data integration