A respected educational institution in Cambridge is seeking a full-time Research Assistant focused on critical mineral supply chains and machine learning. This six-month fixed-term role involves conducting research, modeling supply chain risks, and contributing to scientific writing. Candidates should possess a Master's degree in engineering and be experienced in critical mineral value chains, with strong collaborative and writing skills. This opportunity supports sustainable energy and transport development in the Global South.
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