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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
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electrochemical sensor or biosensor development. Proficiency in electrochemical impedance spectroscopy (EIS), cyclic voltammetry, pulse techniques, and/or amperometry. Knowledge of morphological, structural
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in tropical regions; analyze links between macrofauna and soil carbon; build/validate scoring algorithms using machine learning/cumulative functions. Outputs – Lead scientific, technical, and policy
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qualifications include: 1. Experience in electrochemical sensors or biosensors; 2. Knowledge of voltammetric and/or electrochemical analytical techniques; 3. Experience with nanostructured materials, printed