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B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master's in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.
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Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Master’s degree in Computational Biology, Bioinformatics, Applied Mathematics, Computer Science, Electrical Engineering, or other quantitative field preferred. The ideal candidate would have a Masters or above in a quantitative field (computer science, applied mathematics, bioinformatics) as well as knowledge of modern molecular biology and genomics.
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The Stanford University Protein and Nucleic Acid (PAN) Facility in the Beckman Center is seeking a Life Science Research Professional (LSRP2) to join our highly multidisciplinary group. Bachelor's degree in Biology or related scientific field and four years of relevant work experience; or Master’s degree in Biology or a related scientific field and two years relevant experience; or PhD in Biology or related science field.
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Education: Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent. Experience in creating a RF schematic and doing RF PCB design/layout using Cadence/ Mentor/ Orcad/Etc.
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You balance a unique blend of scientific expertise and content management, leveraging your background in science while immersing yourself in the nuances of science communication and content strategy.
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BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field. We are looking for software engineers and roboticists excited about creating a powerful robotics stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.
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For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass personal computer games, movie production, product design, medical diagnosis and scientific research.
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Preferred Area of Study: Computer Science, Systems Engineering, Computer Information Systems. Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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PhD. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health or biological sciences. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory.
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Master’s degree in human-computer interaction (HCI), experimental psychology, cognitive science, anthropology, information science, business, Economics, or related discipline. Master’s degree in human-computer interaction (HCI), experimental psychology, cognitive science, anthropology, information science, business, Economics, or related discipline.
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Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science. Currently has or is in the process of obtaining a Ph. D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field.
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D egree in Computer Science Computer Engineering or equivalent. Good working knowledge of security risk management, security governance framework and compliance (IT Security Audit / log review), technical vulnerability management (vulnerability assessment, penetration testing), application security, security technologies (system hardening, IDS/IPS, firewall), security incident response and security assessment.
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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., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. In this role, you'll play a key part in Robinhood's forward trajectory, collaborating closely with our adept Data Science and Engineering teams.
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computer science it jobs Title: it in Mountain View, CA
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