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Field
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gas, is the third most abundant greenhouse gas with 300-times greater global warming power than CO2 and it also contributes to the destruction of the ozone layer. Production of N2O is a by-product of
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
relevant activities, such as a master’s thesis. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Ability to work independently as well as in teams Good
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available to the institution on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act , and Export control (legislation that regulates the export
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of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates to experimental data and ability to automate data storage
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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is possible upon agreement. The appointment is carried out in accordance with the principles of the State Employees Act , and Export control (legislation that regulates the export of knowledge
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or electric machine testing would be advantageous, but is not essential. Research environment The successful candidate will join the Power Electronics, Machines and Control (PEMC) Research Institute
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the deployment and validation of advanced experimental infrastructures designed for real-time data acquisition, monitoring and management, including the development of procedures for quality control, systems
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controlled conditions. Existing systems greatly simplify the geometry, connectivity, and deformability of real vascular networks. The successful candidate will design and fabricate, mainly in PDMS, reticulate
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This exciting opportunity is based within the Power Electronics and Machines Control Research Institute of the Faculty of Engineering at the University of Nottingham which conducts cutting edge