Neurocomputational Decision-Making Postdoc

Mount Sinai Health System

New York (NY)

Vor Ort

USD 66.000 - 81.000

Vollzeit

14 Tage+

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Zusammenfassung

The Mount Sinai Health System in New York hosts a postdoctoral research opportunity focused on model-based analyses of behavioral and electrophysiological data collected from human populations. The project spans two established labs led by PI Vincenzo Fiore and PI Andrew H.

Smith, with a focus on compulsive behaviors. Ideal candidates hold a PhD or MD and have experience in electrophysiology and computational modeling of decision-making processes.

Qualifikationen

  • PhD or MD required.
  • Prior research experience in electrophysiology and model-based behavioral analysis.

Aufgaben

  • A postdoctoral researcher is sought to work on model-based analyses of behavioral and electrophysiological data recorded in human populations.
  • The candidate will work across the newly established research laboratory led by PI Vincenzo Fiore at the Center for Computational Psychiatry and the newly established research laboratory led by PI Andrew H. Smith at the Center for Advanced Circuit Therapeutics.
  • The focus of the work will be on compulsive behaviors.
  • This project will develop and deploy a variety of model-based analyses of choice behavior and neural dynamics, applying these tools for the analysis of behavioral and intracranial data (single units, local field potentials), collected in human populations, with a focus on compulsive behaviors.

Kenntnisse

Electrophysiology experience
Model-based behavioral analysis

Ausbildung

PhD or MD

Jobbeschreibung

The Mount Sinai Health System in New York hosts a postdoctoral research opportunity focused on model-based analyses of behavioral and electrophysiological data collected from human populations. The project spans two established labs led by PI Vincenzo Fiore and PI Andrew H.

Smith, with a focus on compulsive behaviors. Ideal candidates hold a PhD or MD and have experience in electrophysiology and computational modeling of decision-making processes.

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