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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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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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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 considering applications from candidates
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. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal
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. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this
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are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name
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submission. You will be involved in every stage of the research process — from preparing ethics applications and reviewing literature to gathering information, working with data, and helping to prepare
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in every stage of the research process — from preparing ethics applications and reviewing literature to gathering information, working with data, and helping to prepare findings for publication. Your
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by focusing on the process and production of Deaf Mediators, Interpreters, and Translators (DMIT) by undertaking a: i. representative review of the situation of DMIT in selected European countries