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untapped potential remains in extracting value from this data. This PhD will explore advanced analytics techniques, including machine learning, digital twin modelling, time series analysis, spectral analysis
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the properties of post-consumer recyclates. The project will apply cutting-edge data science techniques, including principal component analysis and machine learning, to handle multivariate datasets and enhance
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. Transition metal-based complexes, in particular, offer rich spin properties that can be tailored through ligand design. This project aims to explore and optimize such molecules to enhance their performance as
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Tillys Petit, Tillys.Petit@noc.ac.uk, National Oceanography Centre Southampton Project description: The Atlantic meridional overturning circulation (AMOC) is a central component of the climate owing
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-containing systems. Who We Are Looking For: PhD Student / Research Assistant (m/f/d) The primary focus of this PhD project is the EPR and inorganic spectroscopic characterization of nitrogenase and synthetic
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eligible applicants must: • have completed an Honours Degree with First Class or 2A Honours, or equivalent level, or a Master's degree with a significant research component; • have applied, or currently
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sunlight, air and water. Electrodes are a central component of the novel bioelectrochemical platforms for energy harvesting and microbial electrosynthesis. Optimal design of the 3D geometry and material
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datasets, and geospatial analysis outputs of the project. Technical support from the RUG Geodienst is available. Contributing to the development of theoretical frameworks within the project, potentially
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, particularly alkaline etching and anodising, to understand the processes that determine the visual appearance and optical properties of aluminium surfaces. The primary goal is to uncover the factors
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Solubility, and dissolution dynamics, are key physico-chemical properties of active ingredient solid forms and are required across the chemical industry, however their determination remains a