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Field
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to investigate heat transfer and pressure loss, as well as analysis of experimental data and the use of these for model validation. Building or modifying flow loops with instrumentation arrangement may also be
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The UK chemicals sector underpins national prosperity, industrial resilience, and sovereignty across critical supply chains. However, it faces numerous challenges: intensifying global competition
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renewable energy. Responsibilities include calibrating simulations with experimental/numerical data, performance analysis, and contributing to interdisciplinary research on coastal protection, with
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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sensing analysis • Strong research background in spatial analysis and geostatistical simulation • Experience in using Python and/or other programming languages • Good oral and written English
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the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python or similar languages
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programming experience to handle large-scale numerical modeling and analysis, and management of computational workflows Strong publication record relative to career stage Strong skills in scientific analysis
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programming experience to handle large-scale numerical modeling and analysis, and management of computational workflows Strong publication record relative to career stage Strong skills in scientific analysis
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(JCNS-1) Project 3: Combined X-ray and neutron single-crystal high-pressure diffraction in diamond anvil cells (JCNS-2) Project 4: Experimental and numerical investigation of the heat flow generated by
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with numerical modeling, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects