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Dr. Yanjiao Zhou’s lab at the University of Connecticut Health Center is seeking a talented bioinformatics postdoctoral fellow to investigate the role of the gut microbiome and virome in patients
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interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
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computational biology and immunology are also welcome. Our laboratory focus ranges from the study of basic biological processes to very translational bench-to-clinical research with implementation of laboratory
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neoantigen-based vaccine methods utilizing bioinformatics epitope selection pipelines. Experience in molecular virology methods, and antigen presentation and processing as applied to human and murine oncology
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and the role of p21 based cellular senescence regulating these processes. The research program integrates bone tissue regeneration, vascular biology, and skeletal biology with an emphasis on molecular
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with
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PhD) EUR 3,000 Starting package from EUR 10,000 to EUR 20,000 per year Applicants will be encouraged to apply for complementary external funding (e.g., MSCA or EMBO fellowships) in parallel to/following
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tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other
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. Experience with mammalian cell culture, molecular cloning, flow cytometric analysis, multiple-omics analysis, bioinformatics, and animal experiments is preferred. Be highly motivated individuals who can work
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clinical trials, correlative tissue biomarker analysis, genomics studies. Skills or ability to apply computational approaches and implementation of bioinformatics methods is desired. Developing independence