Phd Candidate

vor 2 Wochen

Göttingen, Deutschland Institut für Medizinische Bioinformatik Vollzeit

Ihre Aufgaben
- Application and further development of methods of artificial intelligence and machine learning
- Support in the analysis of genomic

Ihre Qualifikationen
- Degree (Diploma/M.Sc.) in, Bioinformatics, Data Science, Computer Science, Physics, Biology, or a related field
- Basic understanding of biological and biomedical concepts
- Expertise in computer science, data science, and machine learning
- Proficient in programming languages such as Python, Java, R, or JavaScript
- Enthusiasm for working with complex data models
- Interest in interdisciplinary collaboration
- Excellent English language skills in both written and spoken; knowledge of German is advantageous
- High motivation, teamwork, and initiative

Wir bieten
- Structured and guided onboarding
- Diverse activities in a multidisciplinary, interdisciplinary team
- Support for internal and external training as well as scientific events
- Participation in structured PhD programs in Biology, Molecular Medicine, Computer Science, or Data Science

Einleitungstext
Our institute is a leader in the bioinformatic analysis of genetic high-throughput data, particularly in the development of biomarker signatures and advanced approaches of machine learning for personalized and systems medicine.
**PhD Topics**:
Another key area of focus is the prediction of treatment outcomes in pancreatic cancer, where we integrate multi-omics data and histopathology images into a multimodal learning approach.
Another key research area is the prediction of treatment outcomes in pancreatic cancer, where we use advanced federated AI methods to develop robust models for estimating treatment success. We aim to further enhance these models by incorporating multi-omics data and histopathological images into a multimodal learning approach.

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