- Develop state-of-the-art foundation models for protein design, small molecule property prediction, or protein function prediction using modern artificial intelligence methods.
- *Apply machine learning methodologies to develop novel tools and techniques*
- Engage with national and international ML/DL communities and participate in workshops li >< / ul > p >< hr > < h2 > Requirements:< / h2 >< ol type ="A " start =" 1 " start =
MolecularAIResearcherwithFoundationModels - Jülich - beBeeArtificialIntelligence
Stellentitel: Postdoc - Molecular Machine Learning with Foundation Models
Beschreibung
Postdoctoral Researcher - Molecular AI with Foundation Models
We are seeking highly motivated postdoctoral researchers to join our team and contribute to cutting-edge research projects.
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Responsibilities:
We are looking for a skilled Postdoctoral researcher in the field of molecular machine learning to work on challenging tasks such as data generation and curation including molecular simulation approaches. Your main responsibilities will include developing high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER.