Mathematicians, Actuaries and Statisticians

Postdoctoral Researcher in Bayesian Methodology for Medical Device Performance Prediction

TU Delft

Delft, South Holland, Netherlands

Hybrid

Intermediate

Starts in 3-6 months

posted 9 days ago

Vacancy Summary

Join our team to harness Bayesian statistics for predicting the performance of new implantable medical devices. This role focuses on integrating existing data to address uncertainties and improve regulatory decision-making.

Required skills

Methodologies

simulation

Clinical Research

Digitalization

Regulatory Affairs

relocation

Presentation

Assessment

Health Sciences

Data Science

Medical Device Regulation (MDR)

Dutch

English

Technology

Statistics

Support

Academic Writing

Medicine

Professional Development

Make

Probability

Training

Interviews

Performance

Bayesian Inference

networks

CV

Design Changes

Benefits

Assistance

Statistical Analysis

English level

Fluent

Languages

English

Dutch

This postdoctoral position aims to explore the complexities of predicting the performance of innovative implantable medical devices using Bayesian methodology. By integrating prior knowledge from historical data, benchmark tests, and literature with real-world evidence, you will develop a methodology for bridging studies that predicts the impact of design changes on device performance while accounting for uncertainties.

About the Company

TU Delft (Delft University of Technology) has been training engineers for over 180 years, focusing on providing solutions that make a difference in society. Our research is aligned with current and future societal needs, addressing challenges in energy, climate, digitalization, and more.

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