Postdoc, Neurocomputational Modeling (Onsite)

Baylor College of Medicine; Houston (TX); On-site; USD 70,000 - 73,000; Full time

Job summary

Baylor College of Medicine in Houston, TX seeks a Postdoctoral Associate - Specialist to develop, model, and test normative theories of adaptive phenomena in biological neural networks. Collaboration with theorists and experimentalists at BCM, Rice University, and the Texas Medical Center is expected.

Minimum qualifications include a Ph.D. in a quantitative field as listed, with strong modeling capabilities; the position is onsite only with standard research scheduling.

Qualifications

• Ph.D. in the listed quantitative disciplines required. May include Biology or Biomedical Sciences with relevant experience.
• U.S. work authorization required; visa sponsorship not available.

Responsibilities

• Develops normative models of adaptive computations in biological neural networks and tests them on neural data.
• Plans, directs, and conducts an advanced research program.
• Reads relevant literature in experimental and theoretical fields.
• Presents findings at conferences and publishes in journals.
• Performs other job-related duties as assigned.

Education

Ph.D. in Chemistry, Computational Sciences, Computational Biology, Structural Biology, Computer Science, Bioinformatics, Statistics, or related disciplines.

Job description

Baylor College of Medicine in Houston, TX seeks a Postdoctoral Associate - Specialist to develop, model, and test normative theories of adaptive phenomena in biological neural networks. Collaboration with theorists and experimentalists at BCM, Rice University, and the Texas Medical Center is expected.

Minimum qualifications include a Ph.D. in a quantitative field as listed, with strong modeling capabilities; the position is onsite only with standard research scheduling.