At Chandar Lab and Mila, the Quebec AI Institute, we have four open postdoctoral positions on the following topics: 1. Postdoc position on large language models (LLMs) - Topics of interest include but not limited to better pre-training methods, better fine-tuning methods, bias and fairness, interpretability, safety and alignment, continual pre-training. 2. Postdoc position on foundation models for biological data - Topics of interest include but not limited to foundation models (both encoder and decoder models) for proteins, small molecules, and genomics data, multi-modal foundation models for biological data, 3d generative modelling, drug discovery. For this position, we are looking for a candidate with strong ML/LLM/Transformers/Foundation Models background. If you do not have the biological domain background, but are interested in exploring AI for science, this is a perfect position for you. In this position, you will be working closely with our pharmaceutical partners who are experts in biology. 3. Postdoc position on foundation models for time series data - Topics of interest includes but not limited to better sequential architectures, state space models, recurrent neural networks, attention-free architectures, etc. 4. Postdoc position on foundation models for Astrophysics - The topics of interest includes but not limited to recurrent inference machines, Transformers, diffusion models for radio images in Astrophysics.