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Apply software engineering best practices to machine learning, including CI/CD and automation. This person will help develop and support infrastructure and tools to accelerate or enable machine learning research.
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DE conducting and streamlining quantitative research on signals and factors which predict future stock returns, using data science techniques including, large dataset manipulation, Webscraping, natural language processing, and econometrics and statistical techniquesmacro and micro economic reasoning, multivariate regression, and statistical machine learning.
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Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges such as signal detection, classification, autonomous sensor decision-making, radar, electronic warfare, waveform design, electronics support measures, and more.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Experience with machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow.
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Architect and engineer machine learning models and algorithms to identify potential drug candidates, with a specific focus on DNencoded library (DEL) machine learning.
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The Learning & Development Team Co-op is responsible for the management of the Learning Management System (LMS). DescriptionPosition Summary:The Learning & Development Team Co-op will report to the Manager of Learning & Development and be responsible for supporting the organization-wide learning and development for 3500+ employees.
$20 - $25 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.
$176,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Keywords: Cheminformatics, Computational Chemistry, Machine Learning, Artificial Intelligence, Computational Sciences, Drug Discovery, Pharmaceutical, Biotechnology, Boston, Cambridge, Massachusetts.
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This team works at the intersection of synthetic biology (DNA library design and ultra-HTP screening methodologies) and Machine Learning to establish truly novel biological and biochemical workflows for high-throughput data generation.
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The Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden.
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Experience with Data mining, database, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable. Ability to develop, evaluate, and implement workflows for technology, optimize and standardized existing techniques and workflows with respect to experimental HT mRNA generation process workflow including DNA & IVT-RNA production, LNP formulation and in vitro/in vivo screening is desired.
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The world of healthcare is changing fast and Commonwealth Radiology Associates is the "tip of the spear" when talking about advancements in Diagnostic Modalities, Image-Guided Intervention, AI, Machine Learning, and Health Blockchain Technology.
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machine learning jobs Title: electrical engineer Company: Autodesk in Cambridge, MA
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