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exception of nitrogen (N) that can be fixed from the atmosphere, major nutrients such as potassium (K), silicon (Si), phosphorus (P) or minor nutrients such as metals (zinc, Zn; magnesium, Mg; calcium
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, HAADF-STEM, XRD , and EDS for micro- and nano-scale phase analysis. LA-ICP-MS for ultra-trace elemental quantification. Investigation of impurity phase removal (e.g., Fe, P, Si, REEs). Environmental
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
systems for enhanced water–nutrient coupling. Develop nutrient (N, P)-enriched biostimulant matrices for enhanced water–nutrient coupling and improved plant nutrition. Design, synthesize, and optimize
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learning applied to chemical reaction prediction or retrosynthesis (e.g., reaction templates, template-free approaches). Proficiency in Python programming and familiarity with ML frameworks such as
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Science, Environmental Science, Remote Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication
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experience. Knowledge of process mineralogy, froth flotation through past research, coursework, or job experience. Proficiency in programming (Python, Julia) (provide evidence with specific examples
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, Development, and AI Engineer, Geostatistics. • Solid expertise in AI and programming languages. • Strong writing skills and the ability to synthesize information. • Ability to work in a team
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., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management
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conferences (e.g., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for