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Field
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analysis and machine learning methods for optimisation and decision making, to describe the F&V supply chains for various products at regional UK scale and assess their resilience to cascading risks
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- Develop original numerical methods for facility simulation in presence of expansion waves - Demonstrate improved estimates of rate constants for two-temperature models - Contribute
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, Anthropology, Political Science, or related fields), earned by the start date. Required Related Experience Demonstrated expertise in qualitative research methods (e.g., interviews, ethnography, case studies
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for CO₂ storage, integrating site-specific data and geomechanical coupling. • Perform leakage risk assessments using NRAP tools in conjunction with reservoir simulation results. • Update capacity estimates
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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design
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advanced microscopy techniques and related methods. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials
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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design
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, Anthropology, Political Science, or related fields), earned by the start date. Required Related Experience Demonstrated expertise in qualitative research methods (e.g., interviews, ethnography, case studies
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technology and develop human resources. The AI Computing Team explores the design and realization method of advanced machine learning systems by working across multiple layers, including circuits, devices
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of advanced scanning/transmission electron microscopy (S/TEM) methods for cutting-edge scientific research in areas such as quantum materials and low-dimensional energy systems. This position emphasizes