Research Assistant in Federated Learning
vor 1 Monat
We are seeking a highly skilled Research Assistant to join our team at the Peter L. Reichertz Institute for Medical Informatics. The successful candidate will work on a full-time basis, developing methods for integrating physician and patient perspectives into model learning and evaluation processes.
About the ProjectThe PRETTY project aims to improve the prediction of transplant toxicity through federated learning from data, expert opinions, and patient perspectives. Our team will work closely with the hematology department at the Hannover Medical School and other clinical sites to develop innovative approaches for model visualization and collaborative model inspection and editing.
Responsibilities- Develop hybrid methods from machine learning to integrate expert opinions and model visualization
- Collaborate with local teams of physicians and patient representatives at each clinical site
- Develop innovative approaches and publish them in high-quality scientific publications
- Master's degree in computer sciences, data science, or a related field
- Expertise in AI algorithm development, model learning, and data visualization
- Good programming skills in Python or R
- Willingness to work closely with an interdisciplinary project team
- A full-time position with 38.5 hours per week
- A stimulating position at the interface of research, care, and science management
- A collegial induction program in a motivated, team-oriented, international, and interdisciplinary team
We are an equal opportunities employer and welcome applications from women and severely disabled individuals with equal qualifications. Please apply through our website with your application documents and a cover letter.
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