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Organization U.S. Department of Defense (DOD) Reference Code EACE-2025-0004 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Extremity Trauma & Amputation Center of Excellence (EACE) is offering a fellowship at the San Diego, California...
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain data storage and usage of high-performance computing
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to discover pathway‑level disease mechanisms. Build reproducible pipelines in R/Python Integrate proteomic signatures with neuroimaging, cognitive and neuropathology phenotypes. Write manuscripts, contribute
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Python or R is preferred. Ability to analyze multi-omic data, including microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Create a Job Match for Similar
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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Fellow – Koulakov Lab – 03057-R Cold Spring Harbor Laboratory is looking for outstanding candidates to fill postdoctoral positions in theoretical neuroscience. The position is open under specific
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, including analysis of single-cell and/or bulk sequencing data (preferably using R) Experience with advanced microscopy techniques Environment The Icahn School of Medicine at Mount Sinai offers an exceptional
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data in R. Experience studying biotic interactions as preserved in the fossil record. Experience with identifying late Cenozoic molluscs. Experience with assembling a database and data analyses
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. Experience in the use of good laboratory practice in collecting and managing analyses performed in a research study. Experience with statistical analysis (e.g., R or SAS software packages) of datasets. Point