The core interests of the postdoc position rely on the identification of modifiable risk factors for the development of neurocognitive disorders, based on multifactorial data from the National E-Infrastructure on Aging Research (NEAR) by using deep learning and other artificial intelligence (AI) techniques. The postdoc researcher will spend her or his time at KI and Blekinge Institute of Technology. The postdoc researcher will mainly be working with NEAR data harmonization for variables related to the project. The postdoc researcher will be responsible for project planning, data preparation (together with database managers within NEAR), data analysis, and writing of scientific articles. The multidisciplinary project employs multiple machine learning and deep learning algorithms directed at solving healthcare problems.
The applicant should have a PhD in biostatistics, epidemiology, or AI/Deep Learning and good knowledge of advanced statistics in health settings. Essential skills are processing and interpreting health data in multiple forms, including big data healthcare multifactorial databases, as well as medical imaging. 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.
We are happy to announce that the National E-infrastructure for Aging Research (NEAR) received the research infrastructure grant 2021 by the Swedish Research Council (VR) for the project period from year 2023 to 2028. The purpose of the VR grant is to support already existing research infrastructures of national importance. Three years ago, the Swedish […]
NEAR is looking for a Database Coordinator who primarily will lead the work on metadata documentation. The primary task is to document collected data and verify that already documented data follows the correct format. The Database Coordinator will also lead the documentation performed by the other database managers and act as a project manager and […]
On 24th of May 2021, Harpa Sif Eyjólfsdóttir at Karolinska Institutet, defended her doctoral thesis entitled: “Unequal tracks? Studies in work, retirement and health” The overall aim of this thesis was to study how retirement is influenced by health status, socioeconomic position, and gender in Sweden; and in turn how the timing of exit from […]