We are looking for another new Postdoc 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 and biofluid assays 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 Assistant Professor/Neurologist Sara Garcia-Ptacek and it will involve analyzing the effects of different types of medication on brain connectivity in patients at different stages of Alzheimer's disease.
The Postdoctoral fellow will work in the center of Stockholm together with 3 PhD students, 2 Postdocs and 4 affiliated members of Dr. Pereira's group. He/she will help collect data from patients at the local memory clinic using well-established and new imaging sequences as well as perform analyses using already acquired cross-sectional and longitudinal data.
We work in a friendly and inclusive environment, where the future fellow will be involved in many projects, collaborate with group members on different studies, learn new skills, attend conferences, apply for grants and develop a wide network of international collaborations.
The ideal candidate should have at least some of the following qualities:
A PhD in medicine, neuroimaging, computational science, physics, neuropsychology, statistics or a related field.
Experience in statistical techniques, programming, and scripting in MATLAB, STATA, Python, R or other softwares.
Experience with structural MRI, DTI, fMRI and/or EEG/MEG imaging analyses.
Experience with different softwares such as SPM, FSL, FreeSurfer, AFNI, etc.
Experience or interest in working with aging and/or neurodegenerative disorders, particularly Alzheimer’s and Parkinson’s diseases.
Good academic record with scientific publications in world-class journals.
Be independent and willing to supervise students.
The Postdoctoral studies will be performed for 2 years, with possible extension for an additional year.
To apply please go to: https://ki.varbi.com/en/what:job/jobID:577826/
For further information or general inquiries, please contact Joana B. Pereira at email@example.com.