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.
As aging is a global phenomenon with challenges that transcend borders, NEAR views building strong international partnerships with similar research networks and studies as essential. Thus, we’re happy to announce our new partnership with the Spanish Seniors-Enrica study. What is Seniors-Enrica? Seniors-Enrica is a national study on nutrition and cardiovascular risk factors, featuring two cohorts: […]
We are excited to share that NordForsk has awarded NEAR 5,515,823 SEK for the NEXT-NORD project: NEXT Generation Transdisciplinary Aging Research for Nordic Excellence, for 2026−2031. Why this matters The Nordic countries are uniquely positioned to lead globally in aging research, thanks to decades of high-quality, population-based studies, which can be linked to registers. However, […]
On November 26, the NEAR and REWHARD infrastructures brought together researchers and stakeholders at Karolinska Institutet for a well-attended symposium on one of the most pressing challenges in research: non-response in cohort and survey studies. After an initial welcome from Debora Rizzuto of NEAR and Martin Hällsten of REWHARD, the symposium featured leading experts who […]