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pyrochimical processing of oxide, sulfide, or silicate ores. Familiarity with thermodynamic simulation software (e.g., FactSage, Thermo-Calc, etc). Previous involvement in industry-oriented or collaborative
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of the following competencies. Experimental development, testing, and demonstration of novel CCUS technologies. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor
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researchers. Required Skills Nuclear Instrumentation and Advanced Detection Techniques: Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi
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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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under realistic process conditions. Perform process simulations and scale-up assessments. Use advanced characterization techniques (XRD, BET, SEM, TPR, GC-MS, etc.). Collaborate with interdisciplinary
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interfaces, and condensation surfaces under varied operating scenarios. Develop and refine performance simulation models and predictive tools to support system optimization and deployment strategies. Prepare
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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales
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digital copy of the PhD thesis. Contact information for at least two potential academic referees. The earliest available starting date of the candidate. Shortlisted candidates will be invited
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root ecosystem services for carbon sequestration, nutrient cycling and relevant microbial communities. This includes assaying root – soil chemical interactions and imaging for simulation of soil health
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation