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Field
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project aims and
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, Rejected Texts, and New Methods for Negative Bibliography’ (PromPrint). Hosted by the Sussex Digital Humanities Lab (SHL Digital) and led by Principal Investigator Dr Hannah Field, PromPrint uses digital
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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science, to deliver molecular mechanics force fields that bridge the gap to quantum mechanical accuracy for biological modelling and computer-aided drug discovery. They will develop electrostatic embedding
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more frequent and intense extreme rainfall events, creating serious challenges for flood risk management across the UK. Current rainfall datasets are not fit for purpose: radar estimates can be
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marine sciences, biological oceanography, ecology, or computer sciences. Strong analytical, numerical and practical skills are essential. Experience in coding or applying quantitative methods in a
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written English is required. A real passion and commitment for research. Desirable criteria are: Knowledge of a variety of deep learning architectures and methods. Knowledge or past work on explainability
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years. The School consists of the Department of Psychology, the Department of Languages and Intercultural Studies, the Department of Research Methods and Practice, and Edinburgh Business School. Our
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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to learn laboratory methods for analysis of relevant BGC parameters. Training: You will be based in the Polar Oceans Team at British Antarctic Survey, a highly active research team focused on both