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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
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Experience in optimizing computer vision or machine learning systems for integrated hardware like NVIDIA Jetson, Qualcomm RB5, Intel Myriad, etc. Ideal candidates have a background in machine learning and computer vision, as well as strong software engineering skills.
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Experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems. We are seeking a passionate data scientist to work together with the Peacock Science & Technology Fellow on critical Peacock Decision Science initiatives and to boost innovation and research in Machine Learning, Artificial Intelligence and Media Science.
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Typically requires a bachelors masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning experience as follows; nine or more years of experience with a bachelors degree, seven or more years of experience with a masters degree, or four or more years with a PhD. May substitute equivalent machine learning engineer experience in lieu of education.
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Stay up to date on state-of-the-art machine learning methodologies and their applications in cell engineering and drug discovery. + Preferred Qualifications: PhD degree with 4+ years experience in computer science, computational biology, bioinformatics, biomedical informatics, genetics, statistics or related fields with a strong publication record.
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. Bachelor's degree in Computer Science, Computer Engineering, Information Technology or other relevant technical discipline.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Economics, Statistics, Physics, or related field. Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
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Kilpatrick Townsend’s Electronics & Software Patent Prosecution team seeks either a USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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Job Segment: Cloud, Embedded, Computer Science, Data Center, Engineer, Technology, Engineering. Bachelor or Master's degree in Computer Science or Computer Engineering with hands-on PM/Development experience in AI/ML architecture and Gen AI software & applications (e.g., LLM-based chatbots, AI vision, video/image analysis/detection, digital twins) is desirable.
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Through the WSS curriculum and faculty, students will be introduced to the powerful impact that mathematical prowess can have in solving complex challenges in a wide range of disciplines, including physics, biology, genetics, computer science, neuroscience, robotics, artificial intelligence, among others.
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Develop and Implement E-12+ Computer Science Programming: Design E-12+ opportunities for computer science, coding, and AI experiencesDevelop E-12+ computer science scope and sequence ensuring alignment with future forward educational standards and best practicesWrite E-12+ computer science curriculumManage E-12+ computer science materialsBuild E-12+ computer science capacity Ensure computer science programming implementation fidelity.
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We seek a motivated, knowledgeable, and team-oriented scientist with excellent machine learning knowledge, interested in applying these skills to biology as part of the Computational Cell Science team in the Allen Institute for Cell Science.
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Degree must be earned in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
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Stay current with the latest advancements in image processing, computer vision, and machine learning technologies, and apply cutting-edge techniques to solve challenges in NGS. Master's, or Ph. D. degree in Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, Statistics, Physics, Mathematics, or a related field.
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machine learning computer science embedded systems jobs Title: engineering in Anoka, Minnesota
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