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to interdisciplinary collaboration and educational excellence. Preferred Qualifications • Experience leveraging AI with large-scale biomedical/clinical datasets, such as EHRs, bioinformatics, multi-omics, diagnostics
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of at least 05 years. b) Experience in the scientific and technological development of multi-physical design and 3D printing with metallic, piezoelectric, electromagnetic, magnetostrictive, shape memory powders
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center, please visit http://csiss.gmu.edu/. George Mason University College of Science (Mason Science) is committed to advancing inclusive excellence and fostering an environment free from discrimination
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Anatomy Full Time 88327BR Job Summary Under direct supervision, Bioinformatics Programmer applies machine learning and artificial intelligence (AI) concepts for the analysis of large scale genomics
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large-scale genomic processing and analysis pipelines at the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
performance requirements of Trinity One. In addition, the candidate is expected to develop a strong and visible research program that connects Trinity’s neutrino observations with the broader multi-messenger
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supervisors, forming a consortium of seven beneficiaries (see above) and fourteen associated partners including six from industry and two start-ups. For more information, please have a look at https
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literacy) Documented strong research experience in one or more of the focus areas listed above Experience with small- and large-scale intervention studies and collaboration with practice partners (e.g
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an interest in working at the intersection of environmental epidemiology, multi-omics, and maternal and child health! This individual will have the opportunity to work with data from multiple cohorts
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m) to develop a sustainable, next-generation manufacturing facility, using