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via GitHub and Zenodo under open Apache 2.0 and CC-BY 4.0 licensing. Maintain highly effective working relationships across the interdisciplinary team, presenting key milestones at monthly alignment
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RNAs. The project will integrate RNA sequence, structure, RNA-binding protein interactions, and biological function to uncover the rules governing RNA localization in healthy, degenerating, and
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assistants and is in the process of recruiting multiple PhD students and postdoctoral researchers. This is an exciting opportunity to join the laboratory at an early stage and contribute to shaping its
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Spectral Encoding. Develop advanced neural architectures (e.g., adapted Vision Transformers or 1D sequence models) capable of fusing multiple distinct analytical "views" (e.g., combining MS2 and NMR data
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Spectral Encoding. Develop advanced neural architectures (e.g., adapted Vision Transformers or 1D sequence models) capable of fusing multiple distinct analytical "views" (e.g., combining MS2 and NMR data
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decisions. RL & Self-Improving Models: RLHF/RLAIF, online RL, self-play, open-ended discovery, reward modeling, curriculum/active learning, data selection, iterative post-training, safety alignment
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, protein structure and sequence analysis, as well as the study of protein interactions (Luck lab), we aim to dissect the dynamics and biophysics of phosphocluster signaling inside cells.
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within a biological context, and on interfacing with collaborating groups developing AI and machine learning models using this data. The position entails close collaborations with multiple groups
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proteome-such as protein-protein interaction patterns, structural similarity, and data-driven embeddings derived from sequence or genetic perturbation-as prior information, complementing or extending
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Multiple Tenure Line Faculty Positions at any Rank with Cancer Research Funding– Department of Pharmacology or Biochemistry and Molecular & Cellular Biology Georgetown University: Medical Center