The goal is to design a large scale optimization algorithm for machine learning tasks that can run on decentralized compute environments (such as peer-to-peer systems). Requires ability to program and do empirical analysis and also understand theoretical optimization models/literature.
The goal is to design a graph neural network based recommendation system for scroll paintings (folk art) that can run on decentralized compute environments (such as peer-to-peer systems). Requires ability to understand and analyze machine learning problems theoretically, programming skills and performing extensive empirical analysis on a proprietary multi-modal dataset for art conservation.
In this project, we will use a variety of pharmacological and sophisticated molecular techniques, including optogenetics, to determine which brain regions and neurotransmitters are responsible for the motivation to consume alcohol.
Our project aims to enhance the use of adeno-associated viruses (AAVs) as gene therapy vectors, the student will learn to make these viruses and modify them to improve their therapeutic capacity, particularly in central nervous system disorders.
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