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, untargeted metabolomics, quantitative proteomics. Computational and AI approaches: microprotein bioinformatics, multi‑omic integration, protein language models, generative sequence design, and model
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electrophysiological data analysis, modeling, statistics, scientific writing, and programming in MATLAB, Python, or similar coding language. Preferences The ideal candidate has a proven track record of funding and
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. General programming skills or familiarity with at least one statistical programming language such as SAS or R with the ability to independently gain new skills and solve difficult programming challenges
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of computer science fundamentals including algorithms, data structures, and object-oriented programming. Proficiency in C/C++ or similar language Working with large codebases Containerization (Docker) and building