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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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multiple disciplinary approaches inclusive of SELEX technologies, bioinformatics, molecular and cell biology, molecular design, DNA nanotechnology, organic synthesis, immunology, and preclinical studies in
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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. Postdoctoral Research Fellow in Biostatistics and Bioinformatics Duke University is seeking a postdoctoral research fellow in the Department of Biostatistics & Bioinformatics (https://biostat.duke.edu/) within
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-approved systems. Ensure adherence to data security and compliance protocols. Preferred Qualifications MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. Strong
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. For the candidate, this will involve prodigious training opportunities: State-of-the-art tools/skillsets in epigenetics and bioinformatics (NGS techniques + systems approaches) and access to core equipment such as
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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding
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cell therapy or related immuno-oncology setting Experience with in vivo tumor models Familiarity with bioinformatics tools for data analysis Knowledge of Good Laboratory Practices (GLP) What We Offer A
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experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial