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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
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expertise in bacterial genetics, ‘omics approaches and in vivo models. You will determine how sphingolipid expression is regulated within the host, and how these membrane components impact on colonisation
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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Uganda. Building and extending a decision-analytic (Markov) model to estimate the cost-effectiveness of telemedicine with self-monitoring and community medication delivery, relative to standard care, from
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to independently plan and execute experimental research Strong written and verbal communication skills Ability to work effectively in a collaborative, multidisciplinary research environment Ability to model
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, the major responsibility of the research associate is to carry out the research tasks in the project, which include literature survey, data collection, flume experiments, computational modeling, result
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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squamous cell carcinoma (cSCC) progression using molecular, cellular, genomic, and animal model approaches. This full-time postdoctoral position will support NIH-funded and foundation-funded research
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at the Department of Clinical Neurosciences and the John Van Geest Brain Repair Centre. The position is part of a collaborative Wellcome Discovery Award, to characterise novel cellular models of mitochondrial disease