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Virginia Tech

Just Landed

Postdoctoral Associate (Puxeddu Lab) Virginia Tech in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

Virginia Tech

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Keywords

Computer Science
Biomedical Engineering
Mathematics
Computational Biology
Connectomics
Python Programming
Neuropsychology
Brain Connectivity
Social Neuroscience
Programming Language
Physics

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About this position

This postdoctoral associate position in the Puxeddu Lab at Virginia Tech focuses on brain network analysis and computational approaches to understanding neural connectivity. The successful researcher will work on projects involving the Drosophila connectome and/or the development of computational and methodological tools for network neuroscience.

The role is designed for an independent yet collaborative scientist who can contribute to publications while working closely with lab members and external collaborators. The advertised research sits at the intersection of neuroscience and quantitative analysis, with an emphasis on extracting insight from complex brain-network data and building methods that support network neuroscience research.

Virginia Tech is a large, research-intensive university in Blacksburg, with a broad transdisciplinary environment and substantial research activity across the institution. The position is housed in the Puxeddu Lab and offers an environment oriented toward collaborative scientific work, publication output, and interaction with broader research communities.

The post combines hands-on computational research with opportunities to engage in a wider network of collaborators. It is especially relevant to researchers interested in connectomics, neural connectivity, and the development of analysis pipelines for biological network data.

Funding details

Available

What's required

PhD in neuroscience, physics, computer science, applied mathematics, biomedical engineering, or a related quantitative field is required, with the PhD awarded no more than four years prior to the effective date of appointment and at least one year of eligibility remaining. Applicants should have experience in computational data analysis and scientific programming such as Python or MATLAB, demonstrated research productivity through peer-reviewed publications or preprints, and the ability to work both independently and collaboratively. Preferred qualifications include experience in network science or network neuroscience, analysis of neural connectivity or large biological datasets, a background in connectomics, computational neuroscience, or complex systems, experience developing computational tools or analysis pipelines, and an interest in co-mentoring students.

How to apply

Apply through the Virginia Tech careers portal using the posted application link. Prepare materials that demonstrate your quantitative background, programming ability, and research productivity. Review the posting carefully for any additional application instructions before submitting.

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