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experience required. Preferred Qualifications Strong background in molecular biology - DNA cloning, qPCR, RNA sequencing, Western blotting, ELISA, immunofluorescence, etc. - these techniques are fundamental
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levels of energy and curiosity, and who are interested in making fundamental discoveries in understanding the molecular biology of brain tumours, and in pursuing eventual independent careers in academic
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:4826, 2023; Development 151:dev.202239, 2024). Applicants should have a Ph.D. and/or M.D. degree and experience in biochemical and molecular biology research approaches and a strong work ethic. The
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Postdoctoral positions in biology are available in the Zhi Tan laboratory at Baylor College of Medicine (Houston, TX), an interdisciplinary group using deep learning, computational chemistry
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Job Description The laboratory of Dr. Peter Douglas is seeking a highly motivated postdoctoral researcher to join our team in the Department of Molecular Biology at the University of Texas
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analysis of multi-omics datasets and apply machine learning methods to decipher immune responses to infections and vaccines. Selection criteria Ph.D. in computer science, data science, computational biology
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molecular biology and immunology techniques along with multi-omics approaches, including sc-RNA-seq, bulk RNAseq, epigenomics, metabolomics, proteomics, CRISPR screens and genetically engineered mouse models
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molecular biology - Western blotting, ELISA, immunofluorescence, etc. These techniques are fundamental to our experimental work. Experience with amyloid or tau biology - these proteins are key determinants
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We are seeking 2 highly motivated postdoctoral fellows with background in either bioinformatics, cancer biology, epigenomics, immunology, or metabolism to join our NIH-funded laboratory at Center
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single-cell multi-omics data. Gain rich knowledge in cancer biology, cancer genomics and immunogenomics, and cancer-specific bioinformatics. Develop skills in study design, data interpretation