33 parallel-computing-numerical-methods Postdoctoral positions at Baylor College of Medicine
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Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine
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datasets. There will also be opportunities to develop statistical methods and computational pipelines to streamline and improve the analysis and trainees on clinically impactful projects. Job Duties Performs
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& Molecular Pharmacology at Baylor College of Medicine. The Robertson lab’s research focus is in combining cryogenic electron microscopy and computational biophysics methods to generate movies of membrane
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to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease phenotyping and monitoring treatment
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of Integrative Physiology focuses on inherited and acquired arrhythmias and cardiomyopathies. The lab utilizes numerous techniques from cloning and in vitro cell work, to the generation of mutant mice and surgical
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, and clinicians, to advance genomic medicine initiatives. Develops and implement new computational methods and tools for the analysis of genomic data. Contributes to the writing of scientific papers and
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, in vivo calcium imaging, viral gene delivery, opto- and chemical genetic and pharmacological methods, transgenic rodents, molecular/cellular neurobiology, omics (transcriptomics, proteomics and
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include high-throughput molecular biology methods and/or machine learning development. Collects, compiles and analyzes data in a high quality and detailed manner. Ensures all experimental or computational
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Postdoctoral Associate position as part of T32 program. This opportunity involves joining a multi-disciplinary research team focused on the microbiome and its role in gynecological pathologies. The research will
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Maintains full understanding of framing research questions, research design and methods, and project implementation. Learns and becomes experts at research techniques involved in your projects and, when