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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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The Mathematics and Statistics Department at San Jose State University offers undergraduate and graduate degrees in pure and applied mathematics and statistics, including the National Science Foundation Noyce-supported undergraduate integrated and Spartan Accelerated Graduate Education programs in single subject credential in mathematics and education specialist credential that serve students with mild to moderate needs.
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Research: Stay abreast of the latest advancements in computational linguistics, machine learning, and natural language processing, and apply cutting-edge techniques to drive innovation within the Siri ecosystem.
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QUALIFICATIONS: Minimum education and experience required: Master's degree in Electrical Engineering, Computer Science, Physics, Mathematics, or related quantitative field of study plus 5 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, AI Engineering, Machine Learning Engineer, Project Engineer, Data Scientist, or related occupation.
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Expertise as evidenced by a strong record of peer-reviewed academic publications, combined with hands-on research experience in applications of machine learning, deep learning, natural language processing and algorithms is desired.
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What you’ll do As a technology leader within Dolby ATG research, you focus on three key areas of responsibility: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and create the next generation of AI driven image and video processing with specific focus on image/video capture solutions with new upcoming sensors, camera signal processing, 3D spatial captures.
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Enhance the capabilities of natural language understanding based on LLM, such as content understanding/classification, vector retrieval, structuring, and representation learning of short/long texts.
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In Computer Science, Data Science, Electrical Engineering, Mechanic Engineering, Mathematics, or Physics with a focus on machine learning, human–computer interaction, or software engineering.
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Evangelize Nvidia’s Physics Informed Machine Learning technology and product on events and communities. What you'll be doing:Explore and build the ecosystem in Physics Informed Machine Learning related domains with leading software companies, agencies, and developer communities; Build strategic relationships with partners and map the collaboration opportunities with each partner (Technical, Product, Marketing, or Go-To-Market.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
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Your expertise in electromagnetic simulation tools like HFSS and CST, combined with hands-on experience in high-speed PCB/package development, makes you a technical leader in your field.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies.
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Operated by Stanford University on behalf of the DOE, SLAC develops and operates some of the world’s premier science facilities, including the first hard X-ray free-electron laser, the Linac Coherent Light Source (LCLS.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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Key Responsibilities: Hands-on leadership, coding daily to oversee the development and maintenance of an AI-medical assistant platform enabling rapid creation, testing, and deployment of machine learning models (scalable and developed with bias mitigation in mind.
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machine learning applied mathematics hands on jobs Title: software eng in Sunnyvale, CA
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