Computational AI Postdoctoral Fellow
Lawrence Berkeley National Laboratory | |
United States, California, Berkeley | |
1 Cyclotron Road (Show on map) | |
Jan 06, 2025 | |
Berkeley Lab's (LBNL) Biological Systems and Engineering (BSE) Division has an opening for a Postdoctoral Fellow to join the Quantitative Modeling Group led by Hector Garcia Martin to develop machine learning algorithms, mechanistic models, data science pipelines, and automated workflows to design cells to produce renewable products and combat climate change. You will have the opportunity to help design cells to a specification, bring synthetic biology to its full potential, and enable self-driving labs. In this exciting role, you will work as part of a collaborative team to integrate microbial phenotypic data (e.g. fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models able to predict and explain the outcomes of bioengineering interventions. You will work closely with an interdisciplinary team of bench scientists, automation engineers, and software developers in devising methods for high-throughput data collection and analysis for feedback into experimental design, as part of the Agile BioFoundry and the Joint BioEnergy Institute. This position has an anticipated start date of February 1, 2025. What You Will Do:
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