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Postdoc Cardiovascular Data Science
Data Science and , Cardiac Electrophysiology
Job description
Atrial fibrillation (AF) is progressive cardiac arrhythmia with a highly variable clinical picture. AF episodes last for few minutes in one patient and for hours to days in another patient. It is currently unknown which factors determine the AF severity. This project focuses on unraveling these factors in 2 different populations. The first population includes the general population of the Rotterdam Study. This part focuses on the development and course of AF in asymptomatic individuals. The second part consists of patients undergoing open heart surgery who develop post-operative AF to a variable extent. In these patients, complex electrical signals on the surface of the heart are recorded prior to surgery, resulting in a huge amount of signals per patient (>200.000).
This project is a highly unique opportunity for someone seeking an interdisciplinary experience to work with a large collection of epidemiological datasets and electrical signal processing and mapping. The successful candidate will be working at the intersection of Biomedical Informatics and Data Science, Epidemiology, and Cardiac Electrophysiology. The candidate will be responsible for development and validation of signal processing algorithms, analyses with large epidemiological and patient datasets, and supervision of Master and PhD students.
The successful candidate will be appointed at the Department of Epidemiology and will work with the two departments of Epidemiology (Cardiometabolic Epidemiology Unit) and Cardiology (Translational Electrophysiology Subunit).
Part of this project is embedded in large epidemiological studies including the Rotterdam Study, a unique long-term population-based study that started in 1990 and currently follows more than 18,000 people aged 40 and older. The candidate will use biological, electrocardiogram and health data from the Rotterdam Study for this research.
Another part of the project is embedded in ongoing research into electrical mechanisms of various cardiac arrhythmias in which unique intra-operative electrical measurements are made by custom-made equipment designed by engineers from the Delft University of Technology.
Qualifications and skills
Terms of employment
For more information about this position please contact: , principal investigator via .
Application proces
1
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2
Selection
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3
Job interview
Step 3 - Job interview
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4
Offer and terms of employment
Step 4 - Offer and terms of employment
It's a match! Your future manager will discuss your salary and employment with you. You will also receive more information about our other terms of employment.
Step 5 - Getting started
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Olivia Lindner
Recruiter
Erasmus MC
Pioneering, pushing boundaries and leading: in healthcare, education and research
Erasmus MC is an international leading academic hospital in Rotterdam. We are recognized as a world-class scientific research organization aiming to improve our understanding of diseases and disorders and helps to predict, treat and prevent them. We have access to the latest equipment and techniques. A working environment that gets the best out of people.
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Functie: | postdoc cardiovascular data science |
Startdatum: | 03-06-2024 |
Ervaring: | Ervaren |
Educatielevel: | WO |
Contracttype: | Vast |
Salaris: | 6402 – 6402 |
Uren per week: | 36 – 36 |
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