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that function as artificial enzymes. Responsibilities include conducting experimental research in organic chemistry and catalysis, analyzing data, preparing manuscripts, and contributing to ongoing projects
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previously been subject to various analyses. The analytical data is currently preliminary and incomplete. You will work with the unpublished dataset, identify data gaps and to carry out new analytical work
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Medicine
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Candidate Profile Training and Skills required (Recent) PhD in bioinformatics, statistics, or computer science with knowledge and interest in biology Track record of creativity in developing analytic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Experience * Proficiency in analyzing functional magnetic resonance imaging data. * Demonstrated skill in manuscript preparation, managing large datasets, multivariate analytical approaches, and/or
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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description of your PhD) and motivation for applying (max one page). CV including personal contact information, education, work/research experience with start and end dates, relevant skills and contact details
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project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results
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, programming, and analytical tools as needed. Quality Assurance: * Ensure adherence to best practices in data quality, code review, documentation, and reproducible workflows. * Stay current with advances in