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Resilience is looking for a Data Science/Machine Learning engineer that will focus on quantifying and communicating risk and mitigation strategies. Extensive knowledge of statistics and machine learning, with a minimum of 5+ years of experience in the field.
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Role: Data Scientist (PHD) Data Scientist (PHD) Experience with IBM AI Fairness 360 (AIF360) preference; Machine Learning (ML); Natural Language Processing (NLP); spaCy and NLTK, as well as language models like BERT and RoBERTa, are desired.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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In addition, there are additive manufacture devices designed to generate large data sets for machine learning of materials properties. We are seeking a Data Scientist who will provide scientific support to the Materials Characterization Processing (MCP) Core Facility in the Department of Materials Science and Engineering (DMSE), Whiting School of Engineering, Johns Hopkins University.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Strong expertise in data analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker). We seek a faculty member who is experienced in using advanced statistical and machine learning techniques to analyze datasets related to aging, Alzheimer’s disease or related dementias.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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Catalysis, machine learning/artificial intelligence, database/API development, aflow.org repositories. The Entropy for Energy ( S4E ) Laboratory at Johns Hopkins University (PI Corey Oses) has openings for postdoctoral researchers in the data-driven discovery of energy materials.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Working closely with the Conservation Scientist , over the course of this ten-week internship, the Conservation Intern will work on two long-term projects in collaboration with the Conservation Scientist: first, to develop protocols for object sample naming, storage and documentation; second, to create a reference database to improve the identification of pigments and other artistic materials.
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Professional Wetland Scientist (PWS) designation. Wetland Studies and Solutions, Inc., a Davey company, is a seeking an experienced (8+ years of related professional experience), highly motivated Senior Environmental Scientist to join our team in Millersville, Maryland.
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Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
$148,500 - $156,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Open to learning new skills in the areas of 3D printing, materials and food science, computational design, and tissue engineering. [Full Time] Materials Scientist / Engineer (Junior/Senior) at Mooji Meats (United States) | BEAMSTART Jobs.
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Experience identifying source of truth system measures from 1st and 3rd party systems to support downstream Data Science, Machine Learning, and Analytics requirements. Deep understanding of Data Science, Machine Learning, and Analytics workflows and how to set up data infrastructure that supports them.
$160,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As a machine learning engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data. You'll be part of a large community of machine learning engineers across the firm and collaborate with analysts, data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences.
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machine learning data mining scientist jobs in Baltimore, MD
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