27 computer-algorithm-"Prof"-"Prof"-"Prof" Postdoctoral positions at Baylor College of Medicine
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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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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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learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data
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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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biologically/pharmaceutically important proteins for the treatment of cancer, stroke and other diseases. In addition, he/she will receive training in computational drug design, biochemistry and cell biology
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important proteins for the treatment of cancer, stroke and other diseases. In addition, he/she will receive training in computational drug design, biochemistry and cell biology techniques for testing compound
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the established CNRC Postdoctoral Training Program which involves forming a mentoring committee, monthly journal club, semi-annual research presentations, and weekly seminar series. Job Duties Constructs and
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interdisciplinary translational nutrition research lab under established procedures to assure personal and lab safety. Trainees participate in the established CNRC Postdoctoral Training Program which involves forming
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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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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets