14 phd-in-computational-mechanics-"KHALIFA-UNIVERSITY" Postdoctoral positions at Emory University
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prostate cancer; 2) Deciphering the epigenetic mechanisms of oncogenic gene upregulation driven by non-canonical promoters; 3) Discovery of novel druggable regulators of neuroendocrine surface protein target
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contribute to the excellence of our academic community. The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of computer vision, image processing, machine
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mechanisms in RNA biology, RNA-protein biochemistry, structural biology, and cell and molecular biology to advance understanding of RNA function and regulation in biology and disease. This position offers
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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: The qualified candidate should hold a PhD in Medicinal Chemistry, Radiochemistry, Neuroscience, Pharmacology, or related fields. Hands-on experience with CNS models (e.g., neurodegenerative or psychiatric models
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years. PREFERRED QUALIFICATIONS: PhD in
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human cancer based on their cancer driver gene mutations. A new project in the lab is aimed at understanding the mechanism of natural killer mediated anti-tumor effects in LKB1-mutant lung adenocarcinoma
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATION: PhD. NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow