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that integrate population genetics, statistical analysis, and health data. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH
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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
solutions. Situated in the Computational Biology Research Centre of HT, the Iorio Lab operates at the intersection of biology, machine learning, statistics, and information theory. Our goal is to comprehend
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, databases, text). Conducts statistical analyses and visualize results. Extracts meaningful insights from complex data. Develops predictive models using supervised and unsupervised learning approaches
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, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data mining, statistical analysis, and computational modeling; Experience with programming
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. Experience in the analysis of single cell RNA-sequencing and spatial transcriptomics data is advantageous, and proficiency in statistical analysis tools such as R or Python is desirable. Interested candidates
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. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Experience in epigenetics or gene regulation is a plus, and experience with statistical analysis
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. and globally. Qualifications: A doctoral degree (PhD and/or MD) completed or pending in quantitative discipline (Bioinformatics, Computer Science, Statistics, Applied Mathematics, etc.) is desired with
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. Participation in didactic continuing education in cardiovascular core curriculum and statistical data analysis methodology. Complete and maintain all required clinical research regulatory certifications
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experimental collaborators and design experiments is also highly desired. The position requires independent, career-focused, and creative individuals. • Ph.D. in Mathematics, Computer Science, Statistics
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, general familiarity with Bioinformatics and statistics preferred. Team player Excellent oral and written communication. Responsibilities: Manage projects under general supervision. General laboratory