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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation
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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
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DFT for studying reaction mechanisms and materials. Demonstrated programming skills (Python, Fortran, C++). Proven track record of publishing scientific papers in peer-reviewed journals. Skills and
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post-PhD research experience in phosphorus chemistry or advanced materials, with a proven track record of peer-reviewed publications demonstrating expertise in non-agricultural phosphorus applications
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to conduct independent research in soil fertility, crop nutrition, and plant physiology, with a proven track record of publications in peer-reviewed journals. Experience teaching undergraduate or graduate
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inorganic coordination chemistry or a closely related area, is required. Research Excellence: A strong track record of high-quality research demonstrated through publications in reputable international
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to enhance the impact of research Candidate Criteria PhD degree in plasma physics or related fields. Both chemists and physicists are encouraged to apply. Research Excellence: A strong track record of high
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closely related area, is required. Research Excellence: A strong track record of high-quality research demonstrated through publications in reputable international journals, patents, active participation in
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. in Chemical Engineering or a related field, complemented by a suitable research track record. Expertise in the field of chemical reaction engineering is essential, with demonstrated contributions
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, and drive impactful research projects. Candidate Criteria Ph.D. in Chemical Engineering, Hydrometallurgy or a related field, complemented by a suitable research track record. Expertise in the field