Postdoctoral Fellows
We have open positions for postdoctoral fellows who may work on one or more of the following projects.
Dystonia
(I) Abnormal causal relationships within large-scale neural networks in dystonia (graph theory, effective, functional and structural connectivity analysis).
(II) Genetic influences as risk factors for the development of abnormal neural networks in dystonia (a combination of whole-exome sequencing and multi-modal neuroimaging data analysis).
(IV) Primary mechanistic markers of action of a novel oral medication in patients with dystonia (a combination of neuroimaging and pharmacogenomics).
(V) Machine-learning applications for diagnosis and treatment of dystonia.
(VI) Development and implementation of brain-computer interfaces for dystonia rehabilitation.
(VII) Neuropathology of focal dystonia (a combination of neuropathological analysis of postmortem brain tissue and structural neuroimaging).
Normal Speech Production
(I) Neuroimaging studies of the laryngeal motor cortex during production of speech and other laryngeal behaviors.
(II) Effects of invasive and non-invasive stimulation on speech production.
(III) Development and implementation of large-scale neural population models incorporating neurotransmission for simulation and prediction of brain activity during speech production.
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PhD in neuroscience, mathematics, computer science, bioengineering, or related fields
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Exceptionally strong computational and biostatistical skills to implement and integrate the analysis of multi-dimensional imaging, clinical, and/or genetic datasets
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Solid experience in Python, MATLAB, and C
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Strong experience in the algorithmic design, mathematical models (primarily stochastic differential equation systems), and analysis and integration of dynamic systems
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Independent, self-motivated with a proven track record of productive research
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Excellent verbal and written communication skills
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Ability to work effectively both independently and in collaboration with multiple investigators
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Strong publication record and excellent academic credentials
