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Field
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highly motivated Postdoctoral Scholar in computational biology, bioinformatics, and cancer genomics. The successful candidate will contribute to multidisciplinary research focused on cancer genomics
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 21 hours ago
, horticulture, bioinformatics, computational biology, or a related field. A doctoral degree in one of these areas is recommended for participation. It would be favorable for a candidate to have experience in
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, and standard bench techniques (e.g., RNA/DNA extraction, PCR, Western blotting, and basic bioinformatics/data processing). Prior experience with these skills is useful but not required. The ideal
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human neurological, psychiatric and ophthalmological disorders. We are seeking a highly motivated Research Fellow / Senior Research Fellow in Bioinformatics to join our research team that focus
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at Baylor College of Medicine. Dr. Ratnapriya's lab focuses on harnessing the power of genomic technologies to address translational and clinical bioinformatic challenges pertaining to retinal and macular
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growth assays, inoculation experiments, and phenotyping of mycorrhization and plant growth responses. - Analyze omics datasets and contribute to bioinformatic and statistical interpretation of results 30
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field. Strong record of creative and productive research (publications, presentations). Experience in molecular biology, RNA biochemistry, and bioinformatics is an asset. Interest in participating in
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functional cure. Key Responsibilities Perform data analysis and computational workflows supporting the project. Lead or support bioinformatics analyses including: RNA-seq and spatial transcriptomics data
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Skills: Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field
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applicant will hold a Ph.D. in computer science, machine learning, bioinformatics, or related fields. The applicant should have a strong interest and prior experience in developing machine learning methods