30 parallel-and-distributed-computing-"Meta"-"Meta" Postdoctoral positions at Baylor College of Medicine
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: Summary The faculty member will develop a research program based on human neurophysiology and neuroimaging data. He/she will integrate with the other labs in our department and contribute to human
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learning algorithms and creating predictive models. This role will contribute to evidence-based processes and procedures for program quality review and assessment of outcomes data as well as develop
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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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in the established CNRC Postdoctoral Training Program which involves forming a mentoring committee, monthly journal club, semi-annual research presentations, and weekly seminar series. For more
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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
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications PhD in computational science Working knowledge of machine learning and deep learning 3
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computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung cancer and intraoperative
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candidates 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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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