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. Proficiency in data analysis is essential, and the candidate should showcase a track record of excellence in handling diverse quantitative datasets. Having experience working with vulnerable communities and
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implementing rigorous measurement models, and conducting innovative research in their field. Proficiency in data analysis is essential, and the candidate should showcase a track record of excellence in handling
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, and/or basic immunology to apply for the following positions: Qualifications 1. Bioinformatics & Data Integration Focus: AI-powered microbiome analysis, single-cell transcriptomics, and multi-omics
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or equivalent degree and qualitative research training and/or experience. Eligible candidates should have Strong focus group/key informant interviewing and qualitative analysis skills and an ability
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analysis of human brain tissue specimens. Individuals who are interested should submit a detailed CV, a brief statement including a research plan, interests and skills, and the names of three references, and
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of the retinal cells. The candidate will be expected to: conduct human imaging in healthy and diseased eyes, perform data processing, analysis and presentation, upgrade AO imagers, fabricate AO model eyes, and
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analysis, and drafting of manuscripts on projects focused on identifying genetic, epigenetic, metabolic, and lifestyle factors for cardiometabolic diseases in Africans living in Africa, African migrants
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in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired. The candidate should demonstrate
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. Qualifications Requirements & Preferences: PhD in related field Proficient in R, Linux, and python Possess a working knowledge in genomic sciences (i.e., genome sequencing and data analysis) and sequencing
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computational analysis of omics data. Projects will apply computational, statistical and bioinformatics approaches to integrate multi-omics’ datasets such as genome sequences, bulk RNA-seq, single-cell RNA-seq