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collaborate extensively with national and international consortia. Projects include genome-wide associations and whole exome/genome sequencing studies. The successful candidate will have the opportunity to work
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capability Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell transcriptomic data would be an advantage Ability
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for completing complex research projects during their Ph.D and significant experience in standard laboratory techniques (next-generation sequencing (such as RNA-Seq, ATAC-Seq, etc.), flow cytometry, PCR, western
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, including integration of multimodal sequencing and 3D imaging datasets. They will be expected to produce independent and original research in this area, develop and apply new concepts and have a creative
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clinical and research staff. This position is part of an interdisciplinary team and supports applied and translational research aligned with CHIP-ID’s integrated approach to health promotion. Job Description
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sequencing to study the cellular and molecular changes. The role involves both experimental and computational work under the supervision of the Principal Investigator. Mission Statement Michigan Medicine
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accepting applications for multiple full-time fellowship positions based in Seattle. These fellowships offer an exceptional opportunity to contribute to cutting-edge global health research in a dynamic
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settings, increase strategic engagement and alignment between universities and industry, contribute to the solving of industry-identified challenges and opportunities, and create commercial, economic and
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an interdisciplinary cohort of postdoctoral associates at UVA. Other responsibilities to be detailed that align with the fellowship. Desired Skills and Experience Ability to administer, process, and analyze
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to undertake fundamental machine learning research for projects aligned to one of more of the following themes: Theme 1: Tackling misinformation, working on attribution and integrity for generative AI. Theme 2