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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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terahertz (THz) radiation and the collective vibrational modes of biological macromolecules is an emerging field in physical chemistry. Terahertz radiation can be exploited to studying spectroscopic and
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Terahertz (THz) is a rapidly expanding field with notable importance for a myriad of disciplines such as physics, chemistry and biology. In the context of material science, optical-pump terahertz
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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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programme) clearly stating the title of the project and the name of the supervisor, Dr. Miguel Navarro-Cía (m.navarro-cia@bham.ac.uk ). Funding notes: Applications are sought from highly motivated students
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of Birmingham and afield. You can apply here: https://sits.bham.ac.uk/lpages/EPS019.htm (engineering programme) or https://sits.bham.ac.uk/lpages/EPS005.htm (physics programme) clearly stating the title
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integration into neural circuits to result in functional, restored behaviour. We will use the fruit-fly Drosophila as a model organism for its powerful genetics and molecular cell biology (e.g. CRISPR/Cas9 gene
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• Quantitative and computational skills but training will be provided • Interest in Bayesian statistics, stellar evolution, and exoplanet science Keywords Bayesian inference · hierarchical modelling · stellar
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Main description: Native mass spectrometry is an expanding structural biology tool to elucidate the function of protein complexes. Excitingly, the demand for this technology is increasing. However
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Advances in manufacturing science have resulted in unprecedented research and development in the design of ‘micro-swimmers’: microscopic entities that navigate fluid environments by converting some