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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 6 days ago
FieldChemistry » OtherEducation LevelMaster Degree or equivalent Research FieldEnvironmental science » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Experience in programming (R or Python
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financial markets and allows you to learn many aspects from fundamental research problems to concrete applications. More information about the research teams can be found from the centers’ web site: https
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly
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methods of soil characterization, monitoring and management, Organization of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python
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with or commitment to learning and growing as an instructor; experience using R or Python, either in teaching or to support work in statistics and/or data science. Desired Qualifications Experience
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language such as Python or Node.js) would be a plus. The candidate must be able to implement production-ready solutions in adherence to strict timelines, ensuring that deadlines are met, and that
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expected to develop their own active research portfolio, especially as it provides complementary synergies with other EAP activities and themes. More information on the EAP is available at https
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
performance under different acquisition conditions and across different types of plant communities, programming and automating analytical workflows in Python and R, and integrating these workflows with
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multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
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with electrophysiology acquisition and analysis (for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including