27 coding-"https:"-"https:"-"https:"-"https:"-"IBMM" Fellowship positions in United Kingdom
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model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open research outputs. Support and lead
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design, interpret results and perform model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open
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reproducible workflows (code, metadata and documentation) in line with project and UKRI expectations. Prepare research outputs including papers, conference presentations and contributions to shared project
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 7 hours ago
evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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affected families, or other similar marginalised groups Skills and attributes Ability to conduct qualitative research to a high standard, including data collection, developing an analytical approach, coding
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forces and fluctuating dynamics. Create open-source simulation frameworks capable of predicting informing collision outcomes. Cascade this understanding into droplet collision codes. Informal Queries About
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or otherwise) • Lead in translating the developed code into shareable (user-friendly) code for use by students in the Lehman or de Boer groups in the first instance, and then by a wider scientific community via
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, looking to pioneer new approaches to treating cancer by combining experience in computational and laboratory science. Ideally, you will have run computational biology simulations or have coding experience