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and estimating the material properties based on life and degradation. Developing machine learning models to predict the material content and properties for other satellites for which data is not
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for software development, or PhDs who found themselves enjoying software development more than other aspects of academic live throughout their studies. Flexible working arrangements are available. In
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with an Edinburgh-based PDRA and PhD student will be important. The VIPER project: Plate tectonics on the modern Earth forms new oceanic crust at mid-ocean ridges and destroys it in subduction zones
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be involved in the supervision of a PhD student during the duration of the position and will have plenty of opportunities for career development. Requirements Additional Information Work Location(s
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PhD in computational chemistry or related subject. Experience in molecular simulations (i.e., molecular dynamics and/or Monte Carlo methods) or liquid state theory (e.g., classical density functional
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PhD (or are close to submission) in Operations Research, Operations Management, or closely related areas, have expertise in dynamic models and inventory management, and want to build their research
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" of Green AutoML, TinyML, MLOps, Edge AI, and cloud computing. Develop green AutoML solutions and their integration within Future Edge-Fog-Cloud Continuum to provision for native AI and transfer learning