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onto local storage for substantial cost savings for the lab. After this initial project, with mentoring from the Principal Investigator, the computational scientist will oversee and develop algorithms
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models. Knowledge base of multivariable and vector calculus, as well as geometric algebra. Familiarity with machine learning and algorithms. Knowledge and proficiency with protein Large Language Models
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implement algorithms, models, and software applications that can be translated to clinical use. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be
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working under the supervision of Prof. Jaideep Vaidya (the PI and Director, I-DSLA) to develop and analyze privacy-preserving solutions for biomedical data research, implementing the developed algorithms
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. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory analyses for latent spaces formed from neural, genetic, and behavioral data
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well as 5+ years of financial industry experience developing quantitative trading models and algorithms, particularly in crypto markets and cryptocurrencies. For more information about the QFC program in MIDS
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algorithms, and other commonly applied techniques in the statistical -omics data analysis Expertise in large scale data handling Community outreach Please apply online at https://aprecruit.ucsf.edu/JPF05832
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onto local storage for substantial cost savings for the lab. After this initial project, with mentoring from the Principal Investigator, the computational scientist will oversee and develop algorithms
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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Cancer Institute (labs.dana-farber.org/collins-genomics) seeks a motivated Computational Biologist to advance research at the intersection of germline genetics, cancer genomics, and precision cancer