Postdoc: Wearable Data Science for Precision Diabetes

Københavns Universitet - University of Copenhagen; København; Presencial; DKK 430.000 - 560.000; Jornada completa

Descripción de la vacante

The University of Copenhagen's Novo Nordisk Foundation Center for Basic Metabolic Research is seeking a highly motivated Postdoc to advance cardiometabolic health by developing statistical and machine-learning methods for high-resolution CGM data.

The role involves integrating wearable and omics data, building interpretable deep-learning models, and contributing to open-source software for broad research use.

Formación

• PhD in biostatistics, bioinformatics, computer science, data science, epidemiology, or a related quantitative field.
• Expertise in analyzing high-resolution time-series or longitudinal data from wearables is preferred.
• Strong ML skills including deep learning for sequential data; experience with large datasets.
• Proficiency in programming (Python and/or R) and developing reproducible open-source software.
• Interest in diabetes, cardiovascular disease, and metabolism.
• Proven track record of scientific productivity in peer-reviewed journals.
• Excellent communication and ability to work in multidisciplinary teams.
• Experience supervising researchers at different levels.
• Excellent English communication skills, both written and spoken.

Responsabilidades

• Join a project integrating wearable and omics data to advance cardiometabolic health.
• Develop statistical and ML methods for high-resolution CGM data and interpretable models.
• Integrate CGM with other digital health data and omics layers to study dysglycaemia and disease markers.
• Produce open-source software for the research and clinical communities.

Conocimientos

Biostatistics

Bioinformatics

Computer Science

Data Science

Epidemiology

Machine Learning

Programming

English

Research Skills

Metabolism

Educación

PhD in related quantitative field

Herramientas

Python

R

Descripción del empleo

The University of Copenhagen's Novo Nordisk Foundation Center for Basic Metabolic Research is seeking a highly motivated Postdoc to advance cardiometabolic health by developing statistical and machine-learning methods for high-resolution CGM data.

The role involves integrating wearable and omics data, building interpretable deep-learning models, and contributing to open-source software for broad research use.