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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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for analysis (including wet-sieving sediment samples, picking foraminifera under a microscope, cleaning, and weighing) Scientific data analysis and interpretation, also possibly in collaboration with climate
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social care arena (eg: sociology; psychology; criminology; health statistics; health economics; data analytics, data science). Applicants should have experience of obtaining external funding for research
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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. Additional Qualifications Special Instructions Please email Kara your CV, a short description of your research interests, and contact information for 3 references at kara_mckinley@harvard.edu . Selected
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, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically
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estimations in humanitarian and public health contexts by developing reproducible, multilingual workflows for social media analysis, building data pipelines in R/Python, and creating open-source tools for text