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Postdoctoral Research Fellow in Machine Learning and Artificial Intelligence
2 months ago
**About the Role**
We are seeking a highly skilled Postdoctoral Research Fellow to join our team at Memorial Sloan Kettering Cancer Center. As a member of our Computational & Systems Biology program, you will work closely with our team of experts to develop and apply cutting-edge machine learning and artificial intelligence techniques to advance our understanding of cancer.
Key Responsibilities:
- Develop and apply state-of-the-art local and global matrix completion approaches to omics data in the context of human diseases.
- Build large-scale neural network and graph-embedding models on biomedical and cancer knowledge graphs, with applications to predicting patient risk.
- Work on multimodal diffusion and transformer-based language models to connect different modalities of genomic and genetic data.
Requirements:
- Ph.D. in Computer Science, Statistics, Biostatistics, Computational Biology, or a related field.
- Strong background in machine learning, optimization, and AI models.
- Proficiency in computing, with expertise in Python and computing on GPUs.
- Prior experience working on machine learning and AI projects in a research setting.
What We Offer:
- Competitive postdoctoral salary and benefits package.
- Opportunity to work with a talented team of researchers and clinicians.
- Access to state-of-the-art computational resources and facilities.
- Professional development opportunities and support for career advancement.
About Memorial Sloan Kettering Cancer Center:
Memorial Sloan Kettering Cancer Center is a world-renowned institution dedicated to cancer research, treatment, and education. Our team of experts is committed to advancing our understanding of cancer and developing innovative treatments to improve patient outcomes.
