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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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. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and operational teams to integrate proposed solutions. Conducting literature reviews
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1400 large container (mini-plots) to study water dynamics and drought scenarios simulation under close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a
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initiative and undertake outreach, including publication of research findings Prepare and design simulation studies using water, soil and crop modeling tools Compile and analyze experimental data, interpret
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(MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior, particularly in the context of all-solid-state batteries. Showcase
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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
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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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Proficiency: Proficiency in Geographic Information Systems (GIS) to map and analyze spatial determinants of urban health. Predictive Modeling Skills: Ability to develop predictive models and simulation tools