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include experience with fiber sensing, machine learning tools, and big data workflows. Instructions To apply, candidates will submit materials via Interfolio, comprising (1) a letter of interest describing
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genomic tools and protocols for large scale genetic mark recapture (GMR) programs in Atlantic Bluefin Tuna (Thunnus thynnus) in the northwestern Atlantic. The project is a collaboration among Lorenz Hauser
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participants using cognitive and/or neuropsychological tests or survey instruments. Manages all aspects of large dataset: data synthesis, tracking of research participants extracting datasets for other
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both dry and wet lab operations. Dry Lab Operations: Analyze large-scale datasets including single-cell and bulk RNA sequencing, microbiome data, proteomics, and other high-throughput platforms. Apply
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Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor
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about exploring and applying new statistical, computational, or machine learning techniques to astronomical data sets, and extending current methodology to be applicable in the era of big data. Looking
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tissue, new imaging modalities, small animal maintenance and surgeries, and single cell transcriptomics. They will also gain experience in bioinformatic analysis of sequencing and large-scale imaging
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on “big data” studies in health and diseases, including Alzheimer’s disease and others such as schizophrenia, psychosis, autism, etc. We collaborate with major research universities worldwide as
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of a team performing both ex-vivo and large animal in-vivo studies) of catheter-based cardiac/myocardial ablation. The clinical applications investigated will include ventricular tachycardia and
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engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big data. · At least one year of research experience in transportation