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Field
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection
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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA
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omics to advance biological and clinical discoveries and develop next-generation theragnostics. The postdoctoral fellows will mainly focus on (1) creating novel computational algorithms to analyze and
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
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Qualifications PhD or MD/PhD in Molecular Cell Biology, Biochemistry, Cancer biology or a related discipline A strong experimental background with evidence of experimental skills related to cell biology, molecular
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. Applicants must have a PhD degree with an emphasis in biochemistry, neonatology, biology or related field. This individual will conduct bench and translational cardiovascular research that will utilize in
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vision for higher education, research, and public service. Purpose The Postdoctoral Researcher will develop algorithms for speech anonymization in real time. The applicant should have strong background in
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molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high