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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
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graduate student at the University of Michigan Available to attend lectures and lead lab sessions Demonstrated working knowledge of Python including programs of 100-500 lines of code. Have previously taken
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computational analysis of genomic datasets using established pipelines in R, python and HPC. Write reports and summaries of findings, including grant preparation and presentations, and look for opportunities
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competitive salary and access to state-of-the-art research infrastructure. Applications will be reviewed on a rolling basis until the position is filled. Previous Work https://ieeexplore.ieee.org/document
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interacting with different departments and external companies, fluency in English and in French is necessary. Good knowledge in LabVIEW or Python is a plus. Website for additional job details https
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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Python; knowledge of the literature in: consciousness studies, both experimental and conceptual; notions of reference frames and of the unity of consciousness; and as a bonus the specific experimental
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with electrophysiology acquisition and analysis (for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including
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, curation, and sharing. The candidate will use tools such as SQL, Python, and GitHub to create and maintain novel solutions for data curation, organization, and dissemination to support cutting-edge research