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David Broniatowski

7 months ago

Postdoctoral Position in Protein Science, Synthetic Biology, and Predictive AI Modeling George Washington University in United States

Degree Level

Postdoc

Field of study

Molecular Biology

Funding

The position is a postdoctoral research role at NIST (PREP/GWU) supporting national bio-infrastructure. No explicit funding or stipend details are provided.

Deadline

Expired

Country flag

Country

United States

University

George Washington University

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Keywords

Molecular Biology
Biomedical Engineering
Biophysics
Biology
Predictive Modeling
Synthetic Biology
Protein Engineering
Protein Folding
bio engineering

About this position

The George Washington University, in collaboration with NIST, is seeking a Post-Doctoral Protein Scientist for a high-impact research project based in Gaithersburg, MD. This opportunity is ideal for candidates passionate about high-throughput biology, synthetic biology, and the application of predictive AI modeling in the life sciences. The research focuses on bridging the sequence-to-function gap in protein science, involving large-scale metrology, automation, and the design of synthetic circuits using E. coli systems. Responsibilities include developing innovative methods for measuring protein sequence-function relationships, programming automated laboratory systems, designing complex plasmids, and characterizing protein functions and biophysical properties. The successful candidate will also be expected to disseminate research findings through peer-reviewed and open-science platforms. Applicants should possess a Ph.D. in Biology, Protein Engineering, Biological Engineering, or a related field, with expertise in molecular biology techniques, E. coli, and synthetic biology circuit design. The position supports national bio-infrastructure and offers a multidisciplinary research environment. Interested candidates should apply via the provided link and ensure they meet all qualifications.

Funding details

The position is a postdoctoral research role at NIST (PREP/GWU) supporting national bio-infrastructure. No explicit funding or stipend details are provided.

What's required

Applicants must hold a Ph.D. in Biology, Protein Engineering, Biological Engineering, or a related field. They should have expert-level skills in molecular biology techniques, experience working with E. coli, and proven experience in plasmid design and synthetic biology circuits. An interdisciplinary mindset and a data-centric approach to biology are also required.

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Professors

Professor of Engineering Management and Systems Engineering

University Name
Country flag

United States

Research Interests

Artificial Intelligence

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Physics

Materials Science

Computer Science