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implement methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers
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methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or
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analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g
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engineering, with a particular focus on AI, data science and decision-making The candidate's research will focus on code quality assurance, code analysis and more generally on the engineering of TrustWorthy
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mutant and transgenic reporter lines in zebrafish and mouse Participate in all the metabolomic and singe cell transcriptomic aspects of the study, from sample preparation to data analysis Perform
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Responsibilities: Ensure communication with internal and external stakeholders Organize and prepare content/analysis for project events, such as stakeholder meetings and policy briefs Network with researchers and
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field (or lab) experiments or collect observational data in the above mentioned disciplines. The candidate will develop and apply advanced data processing, signal analysis and numerical or conceptual
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and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists) Supporting strategic planning and integration of new data modalities
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, single-cell spectroscopy, multicolour fluorescence and numerical modelling. This multidisciplinary approach will significantly advance our understanding about the resilience of coralline algae to projected
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming