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. Eligibility & Requirements: Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are encouraged to apply. A strong computational background, proficiency in R
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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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The Department of Biochemistry & Molecular Biology at MUSC has an opening for a highly motivated and collegial Postdoctoral Fellow to work full-time on cancer biology research at the intersection
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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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postdoctoral fellows with expertise in computational biology, bioinformatics, or a similar field. While our lab conducts both wet and dry lab experiments, the current roles will focus on computational research
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vitro models and large collections of well annotated clinical specimens. We employ state of the art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS
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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 computational biology, systems biology/immunology
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. The Laboratory: Professor Yiwen Chen’s lab uses cutting-edge computational and experimental approaches to tackle research problems in cancer biology/immunology and neural development at The University of Texas MD
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complexities of various diseases and biological processes. Join our interdisciplinary team, which spans biology, chemistry, and bioinformatics. We are focused on discovering biomarkers for early disease
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, biomedical engineering, computational neuroscience, neurochemistry, physical chemistry, cell and molecular biology, microscopy (e.g., total internal reflection fluorescence, confocal, Raman, etc