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play a crucial role in various industrial applications, including fine chemistry, catalysis, agriculture, and life science. For instance, phosphorus-based chemicals are essential in hydrometallurgy
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of machine learning. develop novel machine learning algorithms primarily for representation learning, dimensionality reduction, clustering and search. conduct theoretical and experimental performance analyses
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processes. Experience in process scale-up and/or pilot implementation. Multisite crop trials establishment with soil and plant analysis, and fertilizer evaluation. Use of tools for plant stress physiology and
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collection and analysis systems. Deploy prototypes in the field and optimize their performance based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work
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and avoid indirect land use emissions from the clearing of new forests. Requirements Programming skills, preferably in Fortran, Python / R Knowledge of remote sensing data processing and analysis
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. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance
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, remobilization, or metabolic flux analysis. Familiarity with methods such as gas exchange analysis, root imaging, metabolomics. Excellent analytical, organizational, and communication skills. Ability to work both
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deficiencies. Quantify nutrient uptake, remobilization, and use efficiency using physiological, biochemical, and molecular tools. Collaborate with team members in data analysis, modeling, and interpretation
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, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development, R’ or Python programming, Co-supervise PhD and undergraduate students. Be willing to be
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conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical