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Field
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to quickly learn new skills Ability to work independently and without significant supervision Excellent verbal and written communication skills Intermediate proficiency in Google Suite and Teams/MS Office
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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models
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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology
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working with NLP in general and LLMs in particular. They will also help to further develop machine learning models to predict clinical outcomes. Familiarity with current methods in this area is essential
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, development of complex data visualizations, and demonstrated skill in one or more of the following areas: machine learning, statistical analysis, natural language processing and text analysis; experience
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of USD $18,000 Office space and a computer An annual $2,500 allowance for research, conferences and professional development. The Swahili Teaching Fellow will teach four courses per year (two per semester
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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addressing measurement quality issues related to respondent non-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory
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, or digital twin; Experience in data management and databases; A track record that demonstrates the ability to work well with interdisciplinary research teams; and Knowledge of Artificial Intelligence/Machine
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simulations using DFT (particularly of surface processes); kinetic Monte Carlo simulations; molecular dynamics simulations; classical and machine-learned force fields. Highly developed skills in scientific