Develop and apply machine learning/deep learning algorithms to various areas of interest, including image processing, natural language processing, integration of genomic and biomedical data, variant interpretation, detecting machine anomalies, and application to massive datasets in oncology, reproductive health, autism and rare diseases, among others.
October 28, 2020
Contribute to research projects that develop a variety of algorithms and systems in machine learning, multimedia analysis, and natural language processing.
November 23, 2020
Design, build, train and optimize 3D deep learning and computer vision algorithms with a focus on high performance and efficient implementation.
January 20, 2021
Participate in cutting edge research in AI and apply Machine Learning in real world, large scale problems such as Computer Vision, Natural Language Understanding, or Speech Analysis.
January 26, 2021
Implement deep learning based models for robustly estimating depth and optical flow.
February 14, 2021
Understanding of different machine learning algorithm families and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised algorithms, etc.
March 11, 2021