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-intensive field Proficiency in Python (or R), version control, and clean code practices Experience with omics data analysis and integration Hands-on expertise in developing and fitting executable models
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% super Develop automated workflows & collaborate with industry partner Apply now to join our dynamic research group and contribute to the development of high-throughput quantum chemistry workflows
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at LSHTM. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process
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jobs website . Online applications 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
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the 'Apply' button above. Online applications 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
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development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP
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pipelines, automate data processes, and enable all-island data federation. This role presents an exceptional opportunity to develop frameworks that enable application of cutting-edge AI/ML methods to complex
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river system Develop, test and apply algorithms for the processing and analysis of satellite data drawing on the latest physics-based and/or data-driven techniques Contribute to work on the automation and
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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 ITD-DCD-2025-03. The supporting
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available. The post is based in London at LSHTM. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any