Postdoc: Neuroimaging & ML in Child Psychiatry

Virginia Commonwealth University School of Medicine

Richmond (VA)

On-site

USD 50,000 - 70,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health benefits
Paid annual and holiday leave
Generous tuition benefits
Retirement planning and savings options
Employee discounts
Career development opportunities

Job summary

Virginia Commonwealth University School of Medicine in Richmond is seeking a Post-Doctoral Fellow for its Child and Adolescent Division. The role involves studying neuro-cognitive bases of neuropsychiatric disorders, with projects focusing on decision-making difficulties related to depression and ADHD.

The ideal candidate holds an M.D. or Ph.D., possesses programming proficiency, and can work collaboratively. A comprehensive benefits package is offered to full-time staff.

Qualifications

  • Candidates should have experience with neuro-cognitive techniques.
  • Experience in neuropsychiatric and substance use disorders is preferred.
  • Experience with machine learning and Bayesian data analysis is a plus.

Responsibilities

  • Study neuro-cognitive bases of neuropsychiatric disorders.
  • Characterize neuro-computational underpinnings of decision-making difficulties.
  • Predict treatment responses via neuro-cognitive indices.

Skills

Proficiency in programming languages like Python or R
Experience with high-performance computing (HPC)
Ability to work in a collaborative research environment
Strong critical and independent thinking skills

Education

M.D. or Ph.D. in psychology, neuroscience, bioinformatics, or a similar quantitative discipline

Job description

Virginia Commonwealth University School of Medicine in Richmond is seeking a Post-Doctoral Fellow for its Child and Adolescent Division. The role involves studying neuro-cognitive bases of neuropsychiatric disorders, with projects focusing on decision-making difficulties related to depression and ADHD.

The ideal candidate holds an M.D. or Ph.D., possesses programming proficiency, and can work collaboratively. A comprehensive benefits package is offered to full-time staff.

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