Postdoc: Wearable Data Science for Metabolic Health

KU - SUND - PANUM KBH N

København

Presencial

DKK 450.000 - 550.000

Jornada completa

Hace 9 días

Consigue una respuesta de este empleador

Tu currículum y tu carta de presentación, adaptados exactamente a lo que buscan contratar.

Supera los filtros ATS

Descripción de la vacante

The Novo Nordisk Foundation Center for Basic Metabolic Research at the University of Copenhagen seeks a highly motivated Postdoc to develop methods for analyzing high-resolution CGM and wearable data in cardiometabolic research. The project integrates omics, genomics, and digital health data to uncover disease subtypes and mechanisms.

The successful candidate will implement interpretable deep learning models for long glucose sequences, contribute to open-source software, and collaborate across

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, ideally from wearables.
  • Strong machine-learning skills including deep learning for sequential data; experience with large datasets.

Responsabilidades

  • Develop new statistical and ML methods to analyze high-resolution CGM data.
  • Integrate CGM with other digital health data and omics layers to study inter-individual variability in dysglycaemia.
  • Produce open-source software tools for the research and clinical communities.

Conocimientos

Biostatistics
Bioinformatics
Data science
Machine learning
Time-series analysis
CGM data
Python
R
English proficiency
Team supervision

Educación

PhD in biostatistics, bioinformatics or related

Herramientas

TensorFlow
PyTorch
R
Git

Descripción del empleo

The Novo Nordisk Foundation Center for Basic Metabolic Research at the University of Copenhagen seeks a highly motivated Postdoc to develop methods for analyzing high-resolution CGM and wearable data in cardiometabolic research. The project integrates omics, genomics, and digital health data to uncover disease subtypes and mechanisms.

The successful candidate will implement interpretable deep learning models for long glucose sequences, contribute to open-source software, and collaborate across

Consigue la evaluación confidencial y gratuita de tu currículum.

o arrastra y suelta tu archivo aquí

Similar jobs

Puestos de trabajo similares que vale la pena comparar

Postdoc: Wearable Data Science for Precision Diabetes
Postdoc: Wearable Data Science for Precision Diabetes

Københavns Universitet - University of Copenhagen • København

Presencial
DKK 430.000 - 560.000
Postdoc: Wearable Data Science for Cardiometabolic Health
Postdoc: Wearable Data Science for Cardiometabolic Health

University of Copenhagen • København

Presencial
DKK 420.000 - 540.000
Postdoc: Wearable Data Science for Metabolic Health
Postdoc: Wearable Data Science for Metabolic Health

University of Copenhagen • Dinamarca

Presencial
DKK 420.000 - 540.000
Postdoc: Wearable Data Science for Precision Cardio
Postdoc: Wearable Data Science for Precision Cardio

KU • København

Presencial
DKK 480.000 - 560.000
Postdoc: Wearable Data Science for Precision Cardio Health
Postdoc: Wearable Data Science for Precision Cardio Health

KU - SUND - PANUM KBH N • Region Hovedstaden

Presencial
DKK 420.000 - 520.000
Postdoctoral fellowship in wearable data science, multi-omics integration, and machine learning for precision cardiovascular health
Postdoctoral fellowship in wearable data science, multi-omics integration, and machine learning for precision cardiovascular health

KU - SUND - PANUM KBH N • København

Presencial
DKK 450.000 - 550.000
Postdoctoral fellowship in wearable data science, multi-omics integration, and machine learning for precision cardiovascular health
Postdoctoral fellowship in wearable data science, multi-omics integration, and machine learning for precision cardiovascular health

Københavns Universitet - University of Copenhagen • København

Presencial
DKK 430.000 - 560.000
Postdoctoral fellowship in wearable data science, multi-omics integration, and machine learning for precision cardiovascular health
Postdoctoral fellowship in wearable data science, multi-omics integration, and machine learning for precision cardiovascular health

Københavns Universitet • København

Presencial
DKK 480.000 - 560.000
Postdoctoral fellowship in wearable data science, multi-omics integration, and machine learning for precision cardiovascular health
Postdoctoral fellowship in wearable data science, multi-omics integration, and machine learning for precision cardiovascular health

University of Copenhagen • Dinamarca

Presencial
DKK 420.000 - 540.000
Postdoc: Wearable Data Science, ML & Multi-Omics for Cardio
Postdoc: Wearable Data Science, ML & Multi-Omics for Cardio

CBMR • København

Presencial
DKK 520.000 - 680.000