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Field
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the
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, environmental economics, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics
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analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems; Experience in applying advanced Artificial
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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phd.org/my-lab . Duties may include, but are not limited to: Subject matter research Literature review Grant writing assistance Reporting to data analytics Other duties as assigned depending on the specific
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quantitative and analytical skills. Ideally students should possess a master’s degree in statistics/biostatistics, mathematics, epidemiology, health data sciences, or a related quantitative discipline. The ideal
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https
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21 Feb 2026 Job Information Organisation/Company Istituto Italiano di Tecnologia Research Field Chemistry Pharmacological sciences Physics Researcher Profile Recognised Researcher (R2) Application
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/trait data) Conducting statistical modeling, feature selection, and predictive analytics for forest health, resilience, and biomass estimation Supporting data preprocessing, cleaning, normalization, and