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reproducibility, Knowledge of deep-learning methods, At least one first author manuscript in the context of omics data analysis in an international peer-reviewed journal in good track for publication (to be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is looking for a highly motivated Postdoctoral fellow to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (http://miaolab.org ) is looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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from This Employer https://main.hercjobs.org/jobs/22154757/postdoctoral-scholar-goldman-school-of-public-policy Return to Search Results
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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Job related to staff position within a Research Infrastructure? No Offer Description Job description The postdoctoral researcher will work on robot learning for manipulation, exploring state-of-the-art
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. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning