Research Scientist in Deep Generative Models for Biomedical Applications
2 days ago
About Our Team
We are a diverse team of researchers and engineers working on cutting-edge projects in machine learning and quantum computing. Our team is part of the Center for Basic Machine Learning Research in Life Science and the Center 'Quantum for Life', collaborating with international partners to drive breakthroughs in these fields.
We seek a highly motivated researcher to join our team in the Department of Computer Science. The successful candidate will be part of a collaborative research environment, working on developing deep generative models, quantum computing, and applications to medical data.
The primary responsibility of the position is to develop deep generative neural networks for biomedical applications. This involves using machine learning and quantum computing techniques to analyze and model complex biological systems. The ideal candidate will have a PhD and MSc in bioinformatics, computational biology, or a similar field, as well as solid experience in machine learning and generative models.
Job Requirements
- Develop deep generative neural networks for biomedical applications.
- Apply machine learning and quantum computing techniques to analyze and model complex biological systems.
- Collaborate with researchers from different departments and international institutions.
Key Performance Indicators
- Publication of research papers in top-tier conferences and journals.
- Presentation of research findings at international conferences.
- Development of novel machine learning and quantum computing algorithms for biomedical applications.
What We Offer
- A competitive salary and benefits package.
- The opportunity to work with a dynamic research group and collaborate with leading experts in the field.
- A chance to contribute to cutting-edge research and publication opportunities.
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