Researcher and Software Developer on Graph Modeling and Machine Learning
vor 4 Wochen
We are seeking a highly motivated Researcher and Software Developer to join our dynamic multidisciplinary team at the German Cancer Research Center (DKFZ) and the National Center for Tumor Diseases Heidelberg.
Your Key Responsibilities- Design, develop, and maintain graph database solutions using Python and graph database technologies.
- Implement data import/export processes and ETL pipelines for graph data and write efficient and performant code to query and manipulate graph data.
- Collaborate with our team to apply graph-based models to biomedical datasets and implement and optimize algorithms for efficient computation on large-scale graphs.
- Design and develop graph machine/deep learning algorithms to solve challenging problems in biomedicine.
- Stay current with the latest developments in graph machine learning and develop/integrate new techniques into biomedically-relevant research projects.
- Conduct testing and provide thorough documentation.
We are looking for a highly skilled individual with a strong foundation in machine learning, deep learning, and graph theory. The ideal candidate will have experience with graph neural networks and related libraries, tools, and frameworks.
- A master's or PhD degree in computer science, data science, computational biology, electrical engineering, physics, mathematics, statistics, or a related field with a focus on machine learning and graph theory.
- Strong problem-solving skills, excellent written and communication skills, with the ability to work independently and within our multidisciplinary research environment.
- Ability to collaborate with life scientists, clinicians, and researchers from diverse disciplines to address research questions at the intersection of graph machine learning and biomedicine.
Excellent framework conditions, including state-of-the-art equipment and opportunities for international networking at the highest level. We also offer 30 days of vacation per year, flexible working hours, remuneration according to TV-L, and a family-friendly working environment.
Our Corporate Health Management Program offers a holistic approach to your well-being, and we provide targeted offers for your personal development to further develop your talents.
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