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Dear all,
We are looking for a PhD student to work in an interdisciplinary and internationally competitive environment at Karolinska Institute, one of the top medical universities in the world and the home for the Nobel Prize in Medicine.
We combine imaging analyses, statistical tools, machine learning algorithms, biofluid assays and genetics to study brain aging and the earliest signs of Alzheimer’s and Parkinson’s diseases.
This project will be carried out under the supervision of Associate Professor Joana B. Pereira and it will involve applying methods based on deep neural networks to identify the anatomical and functional brain connections that are most vulnerable to Alzheimer’s disease and assess whether they can predict cognitive decline. The student will also have the opportunity to learn and apply computational models to identify the mechanisms responsible for the damage of brain connections in AD. Finally, the methods developed in this project in the second version of our software (BRAPH; http://secure-web.cisco.com/1Q2rgK7b8V70npiFIHUI8zfRjlE6qZiFHoTMy0cbxynHT1Pk...), which will soon be released.
The ideal candidate should have the following qualities: - Background in computational science, neuropsychology, physics, statistics, medicine or a related field. - Experience in statistical techniques, programming, or scripting in MATLAB, Python and/or R. - Experience or interest in structural MRI, DTI, fMRI or PET imaging analyses. - Clinical or research experience with aging and/or neurodegenerative disorders are a merit. - Previous scientific publications are also a merit.
The PhD studies will be performed for 4 years. For further information about my group and how to apply please go to: https://secure-web.cisco.com/1ajXNJ3Ewvrf48vViFvbFKr5slri9XmrpQLG9K2_LASnQXH...
The application deadline is 15/03/2022. If you have any questions please contact me at jbragapereira@gmail.com or joana.pereira@ki.se.
Best wishes, Joana