Postdoctoral Fellow in Computational Protein Design and Machine Learning
Join a dynamic team focused on innovative protein engineering.
Best for:Ideal for computational biologists with a strong background in protein design and machine learning.
Overview
The University of Maryland, Baltimore is seeking a postdoctoral fellow specializing in computational protein design, structural bioinformatics, or machine learning. This role involves collaborating with experimental researchers to design and optimize therapeutic proteins and other molecular agents. The fellow will apply advanced computational methods to predict protein structures and analyze interactions, contributing to a vibrant research environment. Candidates are expected to present their findings and mentor junior researchers, fostering a collaborative atmosphere.
What you'll do
- Utilize protein structure prediction and design techniques to create candidate molecules.
- Examine protein-protein interactions and the relationships between sequence, structure, and function.
- Incorporate biological datasets to guide target selection and molecular design.
- Work closely with experimental teams to validate computational predictions and integrate experimental data.
- Provide computational and analytical support for the lab's research initiatives.
- Share research findings at meetings and conferences, and prepare manuscripts for publication.
- Guide and mentor junior researchers within the lab.
Requirements
Degree required: PhD in Computational Biology, Bioinformatics, Biophysics, Chemistry, Computer Science, or a related field
Language: English; proficiency required
Instruction: English
Publications: A record of publications in high-impact journals is preferred
- Experience with protein structure prediction tools like AlphaFold2/AlphaFold3 and Rosetta
- Proficiency in Python and scientific computing
- Familiarity with molecular dynamics simulation software such as GROMACS or AMBER
- Ability to analyze protein-ligand interactions and high-throughput sequencing datasets
Funding & terms
How to apply
Interested candidates should submit their CV, a cover letter detailing their research experience and interest in the position, along with contact information for three references.
- CV
- Cover letter
- Contact information for three references
Contact
Nalinikanth Kotagiri· Supervisor
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