Umeå University announces
at the Department of Integrative Medical Biology (IMB)
The Kempe Foundation finances a postdoctoral fellowship within the Marcellino, Sultan and Rieckmann Laboratories at IMB to work on joint research projects at SARIF (Small Animal Research Imaging Facility). The research groups consist of preclinical and clinical researchers with a focus on non-invasive MRI-based methods to detect brain network fidelity in neurodegenerative disease and normal aging. Additional projects investigate structural plasticity and connectivity in the brain during learning. The fellowship involves working exclusively with MRI and PET/CT image data analysis; however, the fellow will be in several collaborative projects and encouraged to develop new directions within the Projects.
For more information, contact Associate professor Fahad Sultan, email@example.com and/or Assistant professor Daniel Marcellino, firstname.lastname@example.org, Department of Integrative Medical Biology, Umeå University, 901 87 Umeå, Sweden
The postdoctoral fellowship is for two years. Start date upon agreement.
Your complete application, marked with reference number JCK-1922.2, should be sent as a pdf file to email@example.com (state the reference number as subject) to arrive October 31st, 2019 at the latest.
We look forward to receiving your application!
The fellow must have a PhD in an appropriate discipline (e.g., Mathematics, Statistics, Bioinformatics, Computational biology), or a neuroscience-related or quantitative discipline with formal understanding of basic biology. Applicants must have strong backgrounds in statistics and programming skills and hands-on experience with MRI image data analysis and visualization. The successful candidate will be proficient in spoken English and will have a strong background and track record of writing and publishing high-quality scientific articles. Experience working with neuroimaging analysis (MRI and PET), using analysis software such as Matlab, SPM & FSL is strongly preferred. Proficiency with Linux and one or more programming languages preferred in which coding ability (Matlab, Python, or other) for the development and application of analytical methods and for establishing and maintaining computational pipelines.
The application should be in Swedish or English and include: