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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.
Your profile
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 April 8-9, NEAR database managers met at Blekinge Institute of Technology (BTH) in Karlskrona for a two-day workshop onsite and online. The first day started with welcoming and updating everyone about recent NEAR activities. This was followed by two well-attended presentations by Robert Thiesmeier, who discussed missing data methods, and Debora Rizzuto who presented […]
Ingmar Skoog’s book “70 is the new 50” discusses how aging has changed over the past 50 years. The book is based on research results from the NEAR-based H70 studies, which examine the health of different birth cohorts of 70-year-olds. The oldest cohort of 70-year-olds was born in the 20th century (1901-02 and 1906-07) and […]
On November 21, NEAR attended and held a symposium at the Swedish Graduate School on Ageing and Health (SWEAH) conference in Norrköping. SWEAH is a multidisciplinary research school on aging and health, which Lund University coordinates. The theme of the conference was: “Interdisciplinary Perspectives on Sustainable Ageing” and was aimed at researchers at all levels […]