Postdoctoral Researcher in Machine Learning and Predictive Modelling

1 month ago


Copenhagen, Copenhagen, Denmark Københavns Universitet Full time
Job Description

We are seeking a highly motivated and dynamic postdoctoral researcher to join our team at the Section of Epidemiology, University of Copenhagen. The successful candidate will have a strong background in machine learning and statistical modelling, with a focus on predictive modelling and risk prediction.

The ideal candidate will have experience in implementing machine learning approaches in real-world scenarios, including penalised regression, tree-based algorithms, and deep learning models. They will also have a strong understanding of epidemiological analyses and causal inference methods.

As a member of our team, you will work closely with other researchers to develop and validate statistical and machine learning models for a range of problems in public health, biology, and economics. You will also have the opportunity to collaborate with the machine learning and global health network mlgh.net.

We offer a dynamic and international research environment, with a focus on advancing theoretical epidemiology and exploring the dynamic interactions among genes, the environment, and health throughout the life course and across generations.

Key Responsibilities
  • Develop and implement machine learning models for predictive modelling and risk prediction
  • Analyse large datasets of electronic health records and nationwide registries
  • Collaborate with other researchers to develop and validate statistical and machine learning models
  • Contribute to the advancement of theoretical epidemiology and the exploration of dynamic interactions among genes, the environment, and health
Requirements
  • PhD in epidemiology, data science, bioinformatics, or statistics
  • Experience in machine learning and statistical modelling, with a focus on predictive modelling and risk prediction
  • Strong understanding of epidemiological analyses and causal inference methods
  • Excellent communication and teamwork skills
What We Offer
  • A dynamic and international research environment
  • Opportunities for collaboration and knowledge sharing
  • A competitive salary and benefits package


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