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Masters/PhD equivalent degree in biomedical engineering, applied mathematics, physics, computer science, electrical engineering, numerical analysis, and/or related fields. We are looking for a Computational Biologist/Physicist with experience in scientific research, analysis and/or engineering.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA. As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter.
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5+ years of experience in Business Intelligence and Data Science (data mining, Machine Learning, PLS, PCA), Data architecture, data engineering and Big Data. GENERAL FUNCTION The AI & BI Manager provides first class machine learning and strategic input to projects and ongoing operations; leads critical thinking and strategic planning for design, implements and directs AI/ML initiatives and is able to get the business more efficient with the Digital Strategy.
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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
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Solid understanding of statistical and machine learning algorithms. Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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The Department of Biomedical Engineering at the University of Wisconsin-Madison seeks to fill a tenure-track position at any level in the area of artificial intelligence/machine learning driven computational approaches in the design and application of tissue engineered "biomimetic twins", i.e. novel models of human organ function or dysfunction that would accurately predict the influence of external factors.
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Understanding of implementing statistical and machine learning models, deploying these and maintaining them in production environments. Solid understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
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Master of machine learning algorithms, deep learning frameworks, time-series modeling, and statistical modeling techniques. Specialist in signal processing, fluid dynamics, machine learning on IoT devices, and/or anomaly detection within sensor networks.
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The Biomedical Systems team solves challenging applied research problems for the biomedical community to develop, pilot, and validate technologies in point-of-care diagnostics, rapid microbial testing, automated sample preparation, and tissue engineering.
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Master's degree in Computer Science, Statistics, Mathematics, Engineering, Fluid Dynamics, or a related quantitative field (we will consider exceptional candidates without advanced degrees). Continuous learning and development opportunities, including workshops, conferences, and training programs to keep you updated with the latest advancements in AI/ML.
$192,500 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex technologies (e.g., robotics; kinematics; structural engineering pertaining to complex dynamic systems; machine design; automated manufacturing machines, equipment, and related control systems; mechatronics; application of state-of-the-art machine learning (ML) and artificial intelligence (AI); optical systems, etc.
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Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
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Responsibilities: Developing an innovative research program in cellular engineering or tissue engineering; teaching and developing undergraduate and graduate courses in Biomedical Engineering; mentoring graduate students and supervising their research; participating in departmental and university faculty governance; participating in outreach and service in industry and government; and contributing to professional and public service.
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machine learning statistical biomedical engineering jobs Company: Oura
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