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, and computational documentation. Performs large-scale data processing using high-performance computing (HPC) and cloud-based computational resources, when appropriate. Performs multivariable regression
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therapy studies in small and large surgical animal disease models. Acquires and analyzes physiological data relevant to the model system. Performs tissue harvest and molecular/imaging analysis (immunoblot
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, epigenomic, and proteomic large-scale datasets, under the joint supervision of Dr. Cristian Coarfa and Dr. Andrew DiNardo. This is an opportunity for an ambitious scientist committed to advancing
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from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics. Job Duties Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNA-seq, whole genome
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for Postdoctoral Associates. Job Duties Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) to address complex biological and translational research
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therapies, and machine learning and artificial intelligence. Postdoctoral fellows will join a highly collaborative research environment at Rice, with access to a large and growing synthetic biology community
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pneumonia tuberculosis patient cohorts with rich clinical data. Explores organoid models infection induced lung disease risk. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related
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Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence
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Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence
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datalab (github.com/datalab-org) software for managing and learning from experimental data. The following skills are desired: 1. Solid-state chemistry experience, including synthesis and characterization