569 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions
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/ML model development to design and discover redox-active materials with tunable properties (structure, charge state, etc.) Discovery of novel materials for energy storage and conversion and their
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Moustafa to carry out cutting-edge research in the broad area of future structures and resilient infrastructure systems with interest in applications of new and emerging technologies. Particular areas
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) emissions from historical use of both wood in construction sector and use of woody biomass in the energy sector in the United States. The successful candidate is expected to author/co‐author publications
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structure determination using electron or X-ray crystallography. Candidates must have substantial experience in crystallography, specifically in the structure solution and refinement of small molecule
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Materials Science or Chemistry And have significant expertise in the following area: Synthesis and characterisation of air-sensitive materials, including: sulphide-based ionic conductors; structural
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processing methods (such as solid-state chemical synthesis and wet chemical-based approaches) to fabricate all-solid-state sensor structures Set up experimental work to identify areas for sensor improvement
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characterization of molecules and chemical reactions as well as development of structure-to-property rules and nonadiabatic dynamics for electrocyclization reactions. The ideal postdoctoral candidate will have
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, with a special focus on RNA structure and bioinformatics. This position will focus on the development of methods and algorithms for the detection of structured non-coding RNAs. Your future tasks: We
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construction of the next phase of the Project 8 experiment, with a focus on signal acquisition systems using resonant cavities for a large tritium detector; simulations and analysis of Project 8 detector signals
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efficiency and reduce environmental impact. Apply insights from mineral characterization to understand structure-reactivity relationships and guide process optimization. Contribute to data interpretation