25 parallel-computing-"https:" "Simons Foundation" Postdoctoral positions at Baylor College of Medicine
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Research Center’s Postdoctoral Training Program (https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center/education/postdoctoral-fellowship-in-childrens-nutrition) . Attends
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to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand
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program. More information about the CNRC training program can be found here: https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center https://www.bcm.edu/research/research
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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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the Children’s Nutrition Research Center’s Postdoctoral Training Program (https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center/education/postdoctoral-fellowship-in-childrens
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include: Protein engineering Optical system development High-throughput screening Electrophysiology Computational approaches This position offers the opportunity to develop cutting-edge molecular
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maintains crops in greenhouse and/or growth chambers settings. Participates in the Children’s Nutrition Research Center’s Postdoctoral Training Program (https://www.bcm.edu/research/research-centers/usda-ars
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in protein expression and purification, enzyme kinetics, drug design, X-ray crystallography, single-particle cryoEM, and computational biology. Salary will be commensurate with the candidate's
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Sedlazeck Lab is seeking a highly motivated Staff Scientist with strong computational and algorithmic expertise to lead and support cutting-edge
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research program integrates state-of-the-art genomic and molecular approaches—including ribosome profiling, CLIP-seq, single-cell multiomics, CUT&Tag, and long-read sequencing—to elucidate gene regulatory