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Challenges Addressed in the Position: Heterogeneity and high dimensionality of multi-omics data requiring advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing
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team. Identification of the isolated strains using 16s RNA and ITS Conduct the whole-genome sequencing experiment of the selected strains. Conduct taxonomy characterization and analysis of selected
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of vanadium-bearing materials to understand their transformation and recovery mechanisms. Evaluating environmental sustainability via Life Cycle Assessment (LCA) and techno-economic analysis. Contributing
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of computational tools for process monitoring and predictive analysis Candidate Criteria Applicants should have: A PhD in Process Engineering, Chemical Engineering, or a closely related field Strong expertise in
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applied to the phosphate industry. Key Responsibilities Analysis and Monitoring of Radionuclides and Heavy Metals: Develop and implement nuclear analysis methods to characterize phosphate ores and their by
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for measuring the biological material and/or the delivery mechanism; Management and analysis of experimental data; Take the lead on writing of research reports and communicating the scientific results
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or other Sahelian languages Exposure to digital text analysis, encoding, or corpus comparison tools Where to apply Website https://www.timeshighereducation.com/unijobs/listing/412379/ias-postdoctoral-po
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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex molecules in chemistry, pharmaceuticals, and agrochemicals. The position provides a unique opportunity to work