Inside Higher Ed · 1 week ago
Postdoctoral Position in Jeffrey J. Gray's Computational Protein Structure and Design Lab
Johns Hopkins University's Gray Lab is seeking a Postdoctoral researcher to explore AI-based protein engineering. The role involves developing deep learning approaches for protein structure and antibody engineering, collaborating with experimentalists, and contributing to publications.
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Responsibilities
Review literature on biomolecular structure and design technologies and deep learning approaches
Assess gaps in current tools
Assess of emerging deep learning methods for application in biomolecular engineering
Create of novel deep learning tools for biomolecular engineering, including assembling novel data sets, building new architectures, training and assessing models
Critically assess of biomolecular designs using multiple deep learning tools, physics-based models, and structural analysis
Plan collaboration with experimentalists, to best assess competing design strategies
Write journal articles and presentations for sharing the outcomes
Qualification
Required
PhD in Engineering, biophysics, computational biology, or related field
Experience with scientific algorithm development, protein biophysics or engineering, protein structure prediction and design
Experience in solving complex scientific or engineering problems
Excellent writing and communication skills
Ability to work in teams and contribute to a supportive and collaborative work culture
Benefits
Full benefits including health insurance (coverage for eye and dental insurance).
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement.
Company
Inside Higher Ed
Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.
Funding
Current Stage
Growth StageTotal Funding
unknown2022-01-10Acquired
2006-08-31Series Unknown
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