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Department for Energy Science is seeking candidates who wish to pursue a PhD in Energy Engineering. Your research will focus on developing and applying optimisation models to analyse the future role of
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an integrated field and numerical modeling approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model
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complex contexts through statistical models, machine learning (ML) methods, and artificial intelligence (AI). This includes working with performance, scalability, resilience regarding platform architectures
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laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic knowledge of building materials and be