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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Studying industry trends across deep learning and computer vision, we create new ideas and concepts for HDR tone mapping and low light image processing. Developing Deep Learning / Machine Learning methods for image processing and optical flow.
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Our team at ByteDance Research has been focusing on developing quantum computational chemistry and machine learning tools to help us better understand some fundamental science problems, such as the mechanism of catalyst.
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The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc.
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The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data.
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
$145,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience. Work with some of the brightest minds in a leading AI company to develop a leading machine learning framework, NVIDIA Modulus, for our academic and industrial partners to construct digital twins and machine learning simulation surrogates for real world science and engineering problems.
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Knowledge of signal processing and signal integrity in optical communications. Knowledge of SERDES and mixed signal interfaces. You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way.
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NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. Strong knowledge of signal integrity analysis and PCB layout design principles.
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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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Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will play a key role in our Advanced Technology Group "ATG.
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PhD in machine learning, computer science, mathematics, statistics, or related quantitative fields and 7+ years of proven experience in deep learning, natural language processing & understanding, reinforcement learning OR Masters in machine learning, computer science, mathematics, statistics, or related quantitative fields and 10+ years of proven experience that includes deep learning, natural language processing & understanding, reinforcement learning.
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Extensive experience in DFT techniques including JTAG, Scan, memory BIST, scan compression, ATPG vector generation, Boundary Scan, and DFT for mixed-signal and digital Ips. Must have worked with 3rd party mixed-signal IP vendors in implementing DFT.
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machine learning applied mathematics computer science signal processing jobs Company: Veritone in Santa Clara, CA
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