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for diagnostics and therapy Conduct comprehensive bioinformatic analysis utilising established methodologies and tools (e.g. R, Python, MATLAB and other relevant bioinformatics software packages) Collaborate
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international research initiatives. This position offers an exceptional opportunity to work at the intersection of genomics, bioinformatics, and translational science. Baylor College of Medicine typically follows
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biology, animal models of human cancer, and bioinformatic analysis. Successful Postdoctoral Scholars independently drive and conduct their research, with guidance and input from the rest of the group, and
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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should possess a PhD degree. Ideal candidates should be highly motivated with a strong publication record. Previous research experience in RNA biology and bioinformatics is preferred. The initial
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line at the interface of nutrigenomics, clinical genomics, and toxicogenomics Design and apply bioinformatics workflows and predictive systems biology models Analyse multi-omics datasets from clinical
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to independently drive research projects, analyze and summarize results, publish in scientific journals, and contribute to the supervision of students. Your profile PhD degree in bioinformatics, machine learning
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and experience in analysis of large datasets. Bioinformatics training is preferred. Instructions Please submit a CV and cover letter addressed to Dr. Sabo via Interfolio (https://apply.interfolio.com
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researcher will use molecular resources and develop bioinformatics tools to describe the taxonomic diversity of pathogen communities. In addition, using metabarcoding approaches based on environmental DNA