External Email - Use Caution
Dear All,
The PCAN lab: http://pcanlab.ca has a two-year funded postdoctoral research fellow position under the supervision of Dr. Oury Monchi starting immediately to work on the following project:
*Neuroimaging and other predictors of cognitive and neuropsychiatric evolution in Parkinson’s disease using multi-modal MRI imaging techniques and machine learning.*
The project is funded by the Canadian Institutes of Health Research (CIHR) . It involves longitudinal analyses of cortical thickness, tractography and BOLD resting-state fMRI analyses and will benefit from collaborations with Dr. Alexandru Hanganu at the Department of Psychology of the University of Montreal. Other collaborators include Dr. Nils Forkert head of the Medical Imaging Processing and Machine Learning laboratory. A special focus will be given to the neural origins and predictors of Mild Behavior Impairment (MBI) in Parkinson’s disease in collaboration with Dr. Zahinoor Ismail who has led the development of the MBI-checklist. The project will make use of an existing longitudinal study containing structural, diffusion weighted imaging and functional MRI, neuropsychological and behavioural assessment, and genotyping at three time points.
The PCAN lab has been a pioneer in using different neuroimaging techniques to study the origins and evolution of cognitive more recently neuropsychiatric deficits in Parkinson’s disease with the ultimate goal of early prediction of dementia in the disease. Other interests include the function and application of neuromodulation techniques such as transcranial magnetic stimulation, Transcranial direct stimulation and low intensity focused ultrasound. The PCAN Lab is located in the Healthy Brain Aging labs of the Hotchkiss Brain Institute part the Foothills Campus of the University of Calgary. The Foothills campus is home to the Seaman Family MR Research Centre which host a General Electric 3T research dedicated MRI scanner. Requirements of the position include a PhD in Neuroscience, biomedical engineering, biomedical sciences, or Psychology with experience in the analysis of one or multiple MRI neuroimaging techniques such as cortical thickness/volumetry (e.g. *Freesurfer, FSL*), functional connectivity (e.g. *PPI, ICA, graph theory*), diffusion weighted imaging (e.g. *Dipy, MRTrix, FSL*). Some fluency in computer programming (e.g. *Linux, Unix, MATLAB, or Python)* is also required as well as the ability to write scientific peer-reviewed manuscripts.
Please send applications (Cover letter, CV, and the name of 2 references including current supervisor) to Oury Monchi: oury.monchi@ucalgary.ca
External Email - Use Caution
Dear All,
The *Neuroimaging of Emotions Lab *(NiEmoLab at CRIUGM, criugm.qc.ca) affiliated with University of Montreal, is looking for an experienced professional to fill the key role of *Postdoctoral **Fellow* for the research project:
*Impact of neuroimaging, neuropsychiatric and proteomic factors on cognitive performance in Parkinson’s disease and Mild Cognitive Impairment, and their potential to predict future evolution of clinical and cognitive performance.*
The project builds on an existing research platform and involves cross-sectional and longitudinal analyses of neuroimaging, neuropsychiatric, cognitive, clinical and proteomic data. Current working data were extracted from online databases (PPMI, ADNI, NACC, CIMAQ) as well as in the frame of our collaboration with the PCAN lab of University of Calgary. Neuroimaging structural and functional resting-state data were processed. Diffusion data processing requires further adjustments (*Dipy*). A second part of the project that involves comprehensive neuropsychiatric assessments, is undergoing acquisition now and is expected to be ready for analysis in early 2022. Project is funded by the *Fonds de Recherche de Québec Santé, Parkinson Québec*, *Parkinson Canada*.
*Experience requirements:*
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proficient knowledge of python, on statistical analysis (e.g., *nilearn, scikit-learn, statsmodels, scipy*) that will be implemented in our pipeline (*github.com/alexhanganu/nimb http://secure-web.cisco.com/1u8hTndRx3UniPzvfKypHbmRh9kX1iwD3pXHiD0F3hSH65Wd1TyTOAjLcLJTEWI84nkk-s95nFGmHoNKa9DERJocHAmncqfbmWYCIlRHxW9qD7vZuGm5Gfp5ZYMuUWBsO5VhCsCtKzSrMeRgt3VcmqdnW4iWYkKUHjzfKPmuknQQ9aYiixnj-S_TZSM4Mcpa8AeaQJyAcHynz2Cuco_lzej4ri1Ecq3DtNazuOxZ_Uq9ICDGtt5Oo7l4a3CjdmwvnY6WFjAEUh46vhDrEkyvG_g/http%3A%2F%2Fgithub.com%2Falexhanganu%2Fnimb*). -
ability to write scientific peer-reviewed manuscripts -
PhD in Neuroscience, Biomedical engineering, Biomedical sciences, or Psychology -
Experience with neuroimaging and connectivity analysis techniques (Freesurfer, FSL, Dipy, PPI, ICA, graph theory) are advantageous.
Funding is available for 2 years, renewable. Selected candidate is expected to apply for external bursaries. The amount of the bursary will be determined based on experience and recent scientific productivity.
Please send applications (Cover letter, CV, names of 3 references including current supervisor and github repository) to:
Alexandru Hanganu: alexandru.hanganu@umontreal.ca (Primary Supervisor) and
Oury Monchi: oury.monchi@ucalgary.ca (Co-Supervisor)
freesurfer@nmr.mgh.harvard.edu