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Relevant areas of experience might include deep learning techniques, systems software, high performance computation, numerical algorithms, data science, cheminformatics, medicinal chemistry, structural biology, molecular physics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement and innovation in the field of machine learning.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Experience in understanding business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. Experience with deep learning, data science, and NVIDIA GPUs.
$327,600 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Design and implement data science projects, including predictive modeling, machine learning, and statistical analysis, to optimize operations and support strategies. Experience with machine learning, modeling, algorithms, and knowledge extraction.
$170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Established in 2020, Rialtic is supported by prominent investors such as Oak HC/FT, F-Prime Capital, Health Velocity Capital, and Noro-Moseley Partners.
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Strong technical background and leadership experience in national security research applications, including several of the following key areas around electromagnetic spectrum operations and intelligent systems: electronic warfare (EW), radar, antennas, electromagnetics, systems engineering, artificial intelligence, machine learning, acoustics, physical phenomenology, robotics, command and control, network communications, software and hardware development, and signal and data processing, etc.
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Established in 2020, Rialtic is supported by prominent investors such as Oak HC/FT, F-Prime Capital, Health Velocity Capital, and Noro-Moseley Partners.
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Our research portfolio addresses a multitude of functionalities, from structural load-bearing applications to energy storage and harvesting; and electronic, photonic, and opto-electronic devices to drug delivery and mimicking nature; and developing sustainable processing approaches to machine learning and in-situ structure characterization for materials discovery.
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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred.
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Responsible for ACS enterprise data and analysis architecture, providing executive thought leadership and architecture services for all aspects of data services, including data platforms, advanced analytics, data visualizations, geospatial information services, real-world data acquisition and integration, and machine learning/AI activities.
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Proficiency in machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn. ConstructConnect is ready to fill this gap through a variety of artificial intelligence and machine learning approaches.
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Demonstrated experience in communications, spectrum sensing, electromagnetics, signal processing, machine learning/artificial intelligence, or applied mathematics. Expertise in signal processing, electromagnetics, modeling & simulation, machine learning, image, or control theory.
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Working closely with business partners and engineers, the Data Scientists support operations through development and deployment of useful and scalable statistical, machine learning, and deep learning models that make our facilities safe, efficient, and optimal.
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Python, Data science, Machine learning, Data, Sql, Erpss, Predictive modelling, Algorithm, Statistics, Daiss, Data analysis, Predictive analytics, Artificial intelligence, Azure, Modeling, Cloud.
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machine learning jobs in Atlanta, ID, Canada
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