NEAR is looking for a postdoctoral researcher to conduct work on structural brain imaging data acquired within the longitudinal population studies of older adults included in NEAR. The postdoc researcher will mainly be working with NEAR data harmonization for brain-imaging variables related to the project. The major goal is to develop and evaluate a metric that captures global brain integrity. The postdoc will spend his or her time at KI and Umeå Center for Functional Brain Imaging (UFBI) at Umeå University.
The applicant should have a PhD in cognitive neuroscience, psychology, neuroscience or related fields, and have expertise in the cognitive neuroscience of aging. Experience of working with brain-imaging data, especially magnetic resonance imaging (MRI) data, will be required. Experience of data collection and logistics within population-based studies, data cleaning, quality controls and work on databases is also a strength. Scientific productivity (published articles) and experience from large-scale scientific collaborations are further merits.
The Database Coordinator of NEAR, Alexander Darin-Mattsson presented NEAR at the 7th annual Big Data Conference at Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) in Växjö, Sweden, 1 December 2021.
The Scientific Communicator of NEAR, Linnea Sjöberg, presented NEAR at the virtual morning coffee meeting with the Center for Alzheimer Research (CAR) at Karolinska Institutet (KI), 1 December 2021. The seminar rendered a lot of discussion on the possibilities and potential use of the NEAR data among the participating researchers.
NEAR’s third workshop entitled: ”Methodological issues in harmonizing and pooling of data” was conducted on-site, as well as online with 70 attending participants. It was chaired by Debora Rizzuto. After a short update and welcome addressed by Laura Fratiglioni, Alexander Darin-Mattsson and Xiaonan Hu presented how to conduct a study within NEAR and demonstrated the […]