Postdoc Opening: There is an opening for a Postdoctoral Fellow with experience in machine learning, pattern recognition and computational modeling who is interested in functional imaging analysis relating to Traumatic Brain Injury (TBI). The focus of our research is to identify clinically relevant biomarkers as diagnostic and prognostic indicators of TBI by integrating multimodal neuroimaging and neurobehavioral measures. The proposed work will make use of previously collected neuroimaging and self-report symptom measures housed in a database at the National Intrepid Center of Excellence (NICoE), in Washington, D.C. This database contains structural and functional magnetic resonance (MR) images from over 500 TBI patients and fluorodeoxyglucose (FDG) positron emission tomography (PET) images for over 320 of these patients, with additional control subjects. MEG data are also available, along with advanced computational resources. Responsibilities: 1. The main focus of this position is on developing and implementing pattern recognition and machine learning tools for the analysis of MRI and fMRI data sets. 2. Identify and develop multimodal visualization tools and statistical models to classify and discriminate morphological features in imaging data sets. 3. Develop and implement optimization routines to increase efficiency of pattern detection and visualization tools. 4. Other duties include optimizing protocols, monitoring quality control, and participating in the grant and research report authorship. Required Knowledge, Skills, and Abilities: Experience in machine learning techniques, image processing, computational neuroscience, artificial intelligence, pattern recognition, nonlinear dynamics, analyzing large neural data sets, neural systems modeling or related areas. Expertise in MRI, fMRI, and quantitative (morphological) MRI. Experience with statistical analysis using a common analysis package (AFNI, FSL or SPM) preferred. Proficiency in a scientific programming language required (e.g. IDL, Matlab, python, C++). Incumbent should also have strong technical writing and verbal communication skills, posses a collaborative personality, strong attention to detail and be highly motivated. U.S. citizenship and/or ability to pass a rigorous background check required. Minimum Education/Training Requirements: Applicants should have a PhD in Computer Science, Electrical Engineering, Statistics, Machine Learning, Computational Physics, Applied Mathematics, Computational Neuroscience, or similar. Duration: The duration of this position is for up to 3 years. For informal inquiries, please contact Dr. Nathan: nathan_de(a)yahoo.com