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are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language models and multimodal processing Excellent
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in practical applications. We are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language
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(HVI) scheme and assessing the feasibility of heat adaptation interventions. This entails assisting with literature reviews to identify heat vulnerability indicators, and integrating and pre-processing
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. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the interview process wherever it is reasonable
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-EPIH-2025-17. The supporting
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will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-EPIH-2025-17
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), functional mechanisms (Spratt et al. Neuron 2019), regulatory processes (Liang et al. Genome Medicine 2021), ultimately leading to a potential therapy (Tamura et al. BioRxiv 2022). By focusing on human
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or genetics research, a postgraduate qualification, prior involvement in scientific writing, or familiarity with large language models and evaluation of their outputs. Application Process You will be required
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and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to
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for shortlisting. Therefore, candidates must evidence they meet ALL the essential criteria and, where relevant, the desirable. As part of the application process, you are asked to provide this evidence