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data analysis—specifically involving microbiome, virome, and environmental metagenomics—is highly preferred. Applicants should be highly logical, detail-oriented, and self-motivated. An excellent command
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: Start: 01/01/2026 End: 31/10/2029 HOST CENTRE: Faculty of Health Sciences PURPOSE OF THE CONTRACT: Cross-cutting support in data analysis across all the research lines of the group. The successful
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
support fellows at every stage of project development, from conception through data collection or acquisition, analysis and dissemination, and project administration. https://www.cpc.unc.edu/about/ Position
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analyzes collected data so that it can be presented in such a manner as to be useful to other participants in a particular project. Provides analysis and interpretation of data and makes recommendations as
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of platforms based on the Data Mesh paradigm for data sharing. Activities include requirements analysis, architecture definition, distributed data integration and management, and solution validation through
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Good team spirit [XX] Nous offrons A stimulating and international working environment Competitive salary and excellent working conditions – more information can be found on our website (https
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statements and documents issued by CCSOs...Omissis Where to apply Website https://www.unibo.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy
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undertake the senior statistical role in, the analysis of large and complex data that have been collected or are currently being collected by trials on the OCTRU portfolio https://www.ndorms.ox.ac.uk/octru
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responsible digital transformation of healthcare systems Where to apply Website https://concorsi.unict.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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risk scores. We are particularly interested in candidates with experience in the following areas: human genomics and statistical genetics bioinformatics and computational biology multi-omic data analysis