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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)Total BenefitsHere are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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The Misharin lab is seeking a computational biologist/bioinformatician/data analyst with expertise in machine learning, genomics, single cell RNseq, and single cell spatial genomics to support the ongoing research projects focusing on mechanisms governing lung injury and repair (see Grant et al., Nature, 2021; Sikkema et al., Nat Med, 2022; Bailey et al., bioRxiv, 2023.
$55,128 - $77,525 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Scientist, Machine Learning and Computational Biology (Chicago, IL) You will be implementing, extending, and debugging cutting-edge machine learning models, as well as designing and building robust data infrastructure and tools.
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Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker, etc. Must have extensive knowledge of Spark and Hive data processing framework.
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We expect our Machine Learning Engineer to have excellent skills with Python and its machine learning / natural language processing libraries, and have working experience with both structured and unstructured data.
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This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and managing the full Machine Learning Operations (MLOps) stack from data collection to training, deploying, and monitoring models in production.
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Is required (test required)Algorithmic trading experience is required (essential), whether personal or professional experience Desirable Skills: Prior experience as a Quantitative Trader/ ResearcherExperience with Machine Learning, Natural Language Processing or Deep LearningKnowledge of the DeFi and Web 3.0 ecosystem.
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Hands-on experience applying machine learning and deep learning to vision data, preferably direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch. Develop and implement the most innovative computer vision solutions on sports video data, which include body-pose estimation.
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into todays most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Robotics Lab ( Duties & ResponsibilitiesDesign, implement, and/or evaluate a method to facilitate user-robot co-adaptation in a wearable robot using data-driven machine learning predictionMentor/supervise/assist research activities within the lab for graduate/undergraduate students regarding control, mechatronics design, data analysis, human subject experiment, experimental protocol design, result interpretation/presentations, and/or manuscript preparations.
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machine learning data mining scientist processing research jobs Company: Aci Federal in Chicago, IL
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