Postdoc Position in Machine Learning: A Horizon Europe-funded Postdoc position in machine learning is open at the Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University. The position spans two years, with a starting date of 1 September 2024 or shortly thereafter. The Center for Clinical Data Science (CLINDA) focuses on the application and methodological development of bioinformatics, biostatistics, machine learning, and data management within clinical research. The center collaborates closely with healthcare professionals throughout the Danish healthcare sector to establish scalable, national decision support tools for personalized medicine.
Postdoc Position in Applied Machine Learning to Develop Risk Prediction Tools in Atrial Fibrillation (2024-224-05934)
Summary Table:
- Designation: Postdoctoral Researcher
- Research Area: Applied Machine Learning in Atrial Fibrillation
- Location: Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University, Aalborg
- Eligibility/Qualification: PhD degree in computer science, statistics, physics, mathematics, engineering, or related field; extensive experience with machine learning; strong programming skills, ideally in Python; experience with healthcare data.
- Job Description: Structuring health data for machine learning algorithms, developing machine learning-based algorithms for predicting complications in atrial fibrillation, and implementing predictive models in the clinic.
- How to Apply: Submit application online using the “Apply online” button. Application must include a motivated text, current CV, copies of relevant diplomas, list of publications, dissemination qualifications, additional qualifications, and personal data.
- Last Date for Apply: 28.06.2024
Designation:
Postdoctoral Researcher
Research Area:
Applied Machine Learning in Atrial Fibrillation
Location:
Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University, Aalborg
Eligibility/Qualification:
Applicants should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a related field. They are expected to have extensive experience with machine learning, strong programming skills (ideally in Python), and experience with healthcare data. Additional qualifications such as web development, prior knowledge in cardiology, experience with Danish register data, or familiarity with Electronic Patient Journal systems are advantageous. Valued personal competencies include independence, creativity, proficiency in English, flexibility, and result orientation.
Job Description:
The successful candidate will be responsible for structuring atrial fibrillation patient health data for machine learning algorithms (feature engineering), contributing to the development of machine learning-based algorithms for predicting complications in atrial fibrillation, and implementing predictive models in clinical settings. They will collaborate with stakeholders across Europe and researchers at Danish Center for Health Services Research, Center for Clinical Data Science, and Department of Computer Science, Aalborg University.
How to Apply:
Interested candidates must submit their applications online using the provided “Apply online” button. Applications should include a motivated text, current CV, copies of relevant diplomas, list of publications, dissemination qualifications, additional qualifications, and personal data.
Last Date for Apply:
28.06.2024