We are looking for a full-time researcher with previous experience in the use of software for the analysis of neuroimaging data. This post-doctoral fellow will be requested to work mainly with data acquired using resting-state functional magnetic resonance imaging methods (rs-fMRI) to evaluate patterns of functional connectivity in the brai in groups of cognitively-intact elderly individuals, patients with Alzheimer´s disease (AD), and patients with mild cognitive impairment (MCI).
Data processing will be carried out using AFNI and Matlab-based programs. The work will also involve use of software to evaluate the diagnostic accuracy to distinguish between AD, MCI and healthy elderlies (support vector machine).
We aim to bring an individual with abilities to carry out, independently, analyses and organization of computational brain imaging data, interaction with other researchers involved in the same project, and participating in the writing up of scientific papers. These characteristics are expected to boost the scientific productivity from the funded project, both quantitatively and qualitatively. The professional will also have the opportunity to interact with scientists who are at the forefront of technologies for amyloid imaging in the brain, and data will be combined with fMRI analyses in the same elderly subjects evaluated with those two imaging technologies. The post-doctoral fellow will have the opportunity to practice abilities in analysing data of a challenging scientifc project, and he/she will be expected to establish and use optimized processing pipelines for the analysis of rs-fMRI data and other neuroimaging modalities.
Candidates should send a message to neuroimagem.ipq@hc.fm.usp.br with his/her CV and a letter of support.