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University of Copenhagen
3 days ago
Postdoctoral Fellowship in Wearable Data Science, Multi-Omics Integration, and Machine Learning for Precision Cardiovascular Health University of Copenhagen in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
This is a full-time, fixed-term postdoctoral position for two years. Salary, pension, and employment terms follow the agreement between the Danish Ministry of Finance and the AC (Danish Confederation of Professional Associations); a supplement may be negotiated depending on qualifications. Eligible applicants may receive tax reductions if they hold a PhD and have not lived in Denmark during the previous 10 years.
Deadline
Nov 29, 2026
Country
Denmark
University
University of Copenhagen
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About this position
The University of Copenhagen is seeking a postdoctoral researcher for a project on wearable data science, multi-omics integration, and machine learning for precision cardiovascular health. The position is based at the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), located in the Maersk Tower at the Panum Institute.
The successful candidate will join the Merino Group and collaborate with SMARTbiomed, an international partnership involving Aarhus University, the University of Oxford, and the University of Copenhagen. CBMR provides an interdisciplinary research environment spanning genetics, physiology, pharmacology, metabolism, and cardiometabolic health, with approximately 260 employees working across complementary research areas.
The project will develop new statistical and machine-learning methods for high-resolution continuous glucose monitoring data. Rather than relying only on standard summary measures, the research will examine distinct patterns of glucose elevation and use interpretable deep-learning models for long glucose sequences to identify subtypes within type 2 diabetes. These subtypes will be studied in relation to cardiometabolic risk, disease progression, treatment response, and complications.
The postdoctoral researcher will also integrate continuous glucose monitoring with digital health measurements such as physical activity, sleep, diet, and heart rate. These data will be combined with genomics and other omics layers to investigate individual susceptibility to dysglycaemia and discover disease markers and biological pathways. An important outcome will be open-source software that enables the wider research and clinical communities to use the developed methods.
The research will be conducted in a collaborative setting connecting quantitative methods, digital health, biomedical data science, and precision diabetes research, under the scientific environment of CBMR and its partner networks.
Funding details
This is a full-time, fixed-term postdoctoral position for two years. Salary, pension, and employment terms follow the agreement between the Danish Ministry of Finance and the AC (Danish Confederation of Professional Associations); a supplement may be negotiated depending on qualifications. Eligible applicants may receive tax reductions if they hold a PhD and have not lived in Denmark during the previous 10 years.
What's required
Applicants must hold a PhD in biostatistics, bioinformatics, computer science, data science, epidemiology, or a related quantitative field. They should have expertise in high-resolution time-series or longitudinal data, ideally from wearable devices such as continuous glucose monitors, accelerometers, or heart-rate sensors; strong machine-learning skills including deep learning for sequential data; experience with large datasets; proficiency in Python and/or R; and experience developing reproducible, open-source software. Experience integrating genomic or other omics data is advantageous. Applicants should demonstrate an active interest in diabetes, cardiovascular disease, and metabolism, a record of scientific productivity in peer-reviewed journals, strong communication and multidisciplinary teamwork skills, experience supervising researchers at different levels, and excellent written and spoken English. The application must include a motivated letter, CV, certified or signed PhD and MSc certificates, and a publication list.
How to apply
Submit an online application in English by clicking “Apply now” in the vacancy advert. Upload a one-page motivated letter, CV, certified or signed PhD and MSc certificates, and publication list, all in PDF format, by November 29, 2026 at 23:59 CET.
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Make your next move.
Prepare your application
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