32 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions at Baylor College of Medicine in United States
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a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms
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and research protocols to assure personal, lab safety, and research volunteer safety. Trainees participate in the established CNRC Postdoctoral Training Program which involves forming a mentoring
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field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming
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. Job tasks include optimizing intrinsic labeling systems (13CO2, 2H, 57Fe, etc.); developing high-throughput extraction, sample clean-up, and analysis methods for various plant foods and crops; analyzing
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analysis methods for various plant foods and crops; analyzing food and crop samples using liquid chromatography tandem mass spectrometry; statistically analyzing data and preparing manuscripts for peer
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of cancer. This is a 3-year flexible program with personalized educational curricula and individually tailored multidisciplinary teams of mentors with ongoing research in a variety of pediatric and adult
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Development: Masters advanced C. elegans genetics techniques including CRISPR/Cas9 genome editing. Gains expertise in microbiome manipulation and high-throughput screening methods. Learns human organoid culture
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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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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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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize