Post Doctoral Associate (Andreescu/Karim) at University of Pittsburgh

Posted in Other 16 days ago.

Type: Full-Time
Location: Pittsburgh, Pennsylvania





Job Description:

Post Doctoral Associate (Andreescu/Karim)
Med-Psychiatry - Pennsylvania-Pittsburgh - (24008369)

Training track is in translational research under the mentorship of Dr. Carmen Andreescu and Dr. Helmet Karim primarily focus on two areas of research. Continue the work with Dr. Thomas Desmidt and Dr. Karim at the Centre Hospitalier Universitaire de Tours, France. This involves the development of a machine learning algorithm that uses multiple modalities to predict dementia as well as other related disorders using deep neural networks and graph convolutional neural networks. Second project will focus on the development of a machine learning algorithm to predict self-reported worry during a worry-induction fMRI task. This algorithm will focus on using fMRI data to predict worry, neutral, and reappraisal blocks as well as individual ratings of self-reported worry in the scanner. This will then be used to predict worry levels at rest and compared to self-reported worry during rest and chronic out-of-scanner worry.

Doctoral degree in a biomedical research field or related field.

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.


Assignment Category: Full-time regular
Campus: Pittsburgh
Required Attachments: Curriculum Vitae

Assignment Category Full-time regular





PI254659798


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