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of information in their daily lives - from local news to institutional messaging and algorithmically curated feeds. We are investigating how trust forms, erodes, and gets repaired, and how technologies
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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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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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. 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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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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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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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
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funded by a EU programme Reference Number AE2025-0603 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais
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preprocessing IoMT network traffic datasets. Implement and evaluate machine learning algorithms (e.g., logistic regression, SVM, random forest) for intrusion detection. Develop prototype software tools (e.g
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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