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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.
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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.
On March 9-10, the database managers of NEAR held a two-day workshop on-site at the Aging Research Center at Karolinska Institutet, with the main purpose of discussing and developing overall matters of database management. The first day was focused on publishing and sharing your data, where three representatives from the KI Data Access Unit (DAU) […]
Wilhelmina Hoffman who is part of NEAR’s Steering Group, is one of this year’s recipients of an honorary doctorate of medicine from Karolinska Institutet. She is specialist in geriatrics, and CEO of Silviahemmet and the Swedish Dementia Centre. Medical advances require research, innovation, education and the effective clinical implementation of scientific evidence. Wilhelmina Hoffman has […]
Willhelmina Hoffman, Björn Halleröd, Kaare Christensen, Luigi Ferrucci, Anne, W Ekdahl NEAR has now entered the next phase 2.0, with a focus on consolidation and expansion, and due to that, a new Steering Group has been appointed. The new Steering Group consists of members with national and internationally recognized expertise in aging research and research […]