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Comfortable in the use of advanced technology, including AI/machine learning and computational design/modeling/ analytics, to help accelerate development. We are looking for an individual with a passion for science and sustainability who has a proven track record in fermentation science, bioprocess development, and/or downstream purification for biomanufacturing of sustainable chemicals.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Experience with a variety of ML and AI techniques (multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.
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Leveraging machine learning techniques and statistical programming packages to perform analysis on commodity instruments. We assist our clients with analytical support in complex commodity risk topics such as hedging, trading and procurement optimization, market risk management, reporting tools and complex contract modeling, including energy, agriculture, metals, and soft commodities.
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Strong technical and consultative experience managing ESI through the EDRM including staging, processing, culling, email threading, clustering, communication analysis, machine learning, predictive modeling, etc.
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Machine Learning, Data Science, and statistical modeling experience are highly valued. Experience with ETL and data integration development using multiple tools, including Informatica, Microsoft SSIS or other technologies.
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Working Experience in Computer Vision including but not limited to imaging and lens calibration using high resolution cameras and image processing as well as AI techniques including but not limited to Solid knowledge of deep learning methods utilizing neural networks, statistical analysis, and machine learning solutions are required for this role.
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Demonstrated knowledge of when to apply predictive modeling techniques such as logistic regression, time series, neural networks, random forest, boosting, text mining, clustering, deep learning, optimization, etc.
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Requires two (2) years of experience in each of the following: Data analysis for health care industry, products, or systems; Marketing analytics, clinical trials, or health research; Analytics experience within the retail and/or healthcare industries; Machine learning, statistical analysis, or predictive modeling; SAS or SQL programming languages; and Designing data models and solutions for analytical and reporting use cases.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Direct experience in multi-physics modeling and optimization with applications in wearable actuation and sensing research.
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Oracle Senior Principal Speech Scientist Providence , Rhode Island Apply Now Invent, implement and deploy state-of-the-art machine learning models, algorithms and systems as part of the OCI Speech team.
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Knowledge of different deep learning/neural network algorithms and FEA modeling and analysis methodologies/technologies. Will augment existing deep learning methods to conform to physics laws, learn deep representations for 3D geometries construction, accelerate modeling and traditional numerical methods for solving PDEs in multi-physics domain.
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