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Institute (prof. Sarah Teichmann). All research groups are internationally leading experts within the field gut immunology, pathology, hematology, and bioinformatics. To get some insight in technologies
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motivated Postdoctoral Fellow in Bioinformatics and Computational Biology to join our multidisciplinary research team studying the microbiome and host-microbe interactions of relevance to infections occurring
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multi-disciplinary approach including mouse genetics, immunological assays, genetic screening and various genomics tools. A list lab projects and publications from the group can be found here: https
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Deadline: 2025/06/05 11:59PM (posted 2025/05/05, listed until 2025/06/05) Position Description: Apply Position Description The Sheng Yang He Lab at Duke University, Department of Biology, has an opening
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computational and statistical methods, with demonstrated experience in reproducible and scalable bioinformatics environments. The applicant will work in close collaboration with other Engblom lab team members who
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highly motivated candidate with a PhD in genomics, molecular evolution, microbiology, bioinformatics, or a related field. The candidate should have expertise in microbial genomics. He/she should be
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postdoctoral position in computational biology/bioinformatics • Focus on analyzing multi-omic data from melanoma patients receiving TIL therapies • Co-mentorship by Dr. Allison Betof Warner and Dr. Zinaida Good
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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer science
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
immunology, molecular and cell biology, and bioinformatics Practical experience in immunology, molecular and cell biology, hematology and genetics, and imaging techniques Excellent organizational and
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality