60 computer-science-programming-languages-"Prof"-"Prof" Postdoctoral positions at Baylor College of Medicine
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of the BCM program is to prepare our fellows to function as independent scientist-clinicians and to provide an advanced comprehensive training opportunity for fellows to gain competence in adult
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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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with robots, computers, especiallyzed software and stereomicroscopes in addition to the genetic and molecular biology benches. Job Duties Conducts genetic screens using Drosophila disease models
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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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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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management and organization. Job Duties Independently work within a dynamic multidisciplinary group. Read and evaluate current scientific literature. Plan and conduct experiments, analyze data, and regularly
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using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful
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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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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