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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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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.
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MS or PhD in EE with emphasis on advanced packaging or RFIC/mmWave design/Bachelors degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent.
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Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Mathematical Statistics, Statistics, Mathematics, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering.
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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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MS or Ph. D. degree in Computer Science, Computer Engineer, Electrical Engineer, Mathematics, Statistics or related field. Work with algorithm engineers and product managers to productize and optimize computer vision pipelines and integrate into our software solution.
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Ph. D. degree in computer science, robotics, electrical engineering, or other engineering disciplinesExperience with scene reconstruction, bundle adjustment and factor graph optimization librariesExperience with Javascript and massively parallel cloud computing technologies involving Kafka, Spark, MapReducePublished research papers in CVPR, ICCV, ECCV, ICRA, IROS, etc.
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We also offer BS in Computer Science and Linguistics (jointly with the Dept. of Linguistics and Language Development, MS in Data Science (jointly with the Dept. of Math/Stat), MS in Bioinformatics, and support BS in Software Engineering (curriculum jointly administrated with the Dept. of Computer Engineering.
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We are a small but fast-growing team bringing domain knowledge-aided computer vision and image processing to semiconductor manufacturing. 5+ years of industry or research experience in state-of-the-art techniques in Machine Learning, Deep Learning, Computer Vision and Image Processing.
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Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area.
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MS or PhD degree in computer science, computer architecture, electrical engineering or related field. 3+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including a solid understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis and optimization & Computer architecture.
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Masters Degree in Mechanical Engineering, Electrical Engineering, Computer Science, or related field with a background in control systems and estimation theory. In the Sr. Battery Controls Engineer role, you deliver battery controls and estimation features for Archer's high voltage battery management and charging systems - enabling the use of electric vertical-takeoff-and-landing aircraft for urban air mobility.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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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BS in Computer Science/Computer Engineering or equivalent experience/skills. Experience in the computer architecture in SSD, HDD, storage systems, or a related technology. As a systems engineer in SMI, you will be a technical expert in SSD controller system design & development engineering.
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Job Segment: Cloud, Electrical Engineering, Computer Science, Data Center, Engineer, Technology, Engineering. Bachelor or Master's degree in Computer Science, Electrical Engineering, or Computer Engineering with minimum of 3 years hands-on experience in system/server architecture is desirable.
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computer science jobs Title: software engineer Company: Change Healthcare in San Jose, CA
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