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Have experience applying signal processing, image processing, pattern recognition, machine learning, deep learning, or related techniques with respect to signal extraction from sensors.
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Job Title: Research Intern (2024) – Computer Vision Machine Learning Engineer. The SHEIN AI Team leverages advanced AI technologies, including NLP, image processing, and deep learning, to boost global e-commerce and supply chain efficiency.
InternExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Have 3 or more years of experience applying signal processing, pattern recognition, machine learning, deep learning, or related techniques with respect to information extraction from electromagnetic systems.
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Machine Learning, Computer Vision, and Data Science Internship. The Intelligent Systems Group at Lynntech is developing new technologies through Research and Development (R&D) to come up with solution to frontier challenges in Artificial Intelligence, Machine Learning (ML), and Data Science.
$16.2 - $28 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred coursework: Computer vision, image analysis, machine learning, algorithms, bioinformatics, physics, statistics. Your core duties will revolve around creating and implementing novel methods to derive insights from in-house generated large-scale image and sequence datasets.
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Bring your passion about improving healthcare with your experience in developing image analysis tools, training machine learning models, and deploying software in a commercial setting.
$127,000 - $174,700 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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CUDA, Julia, R and/or SQL), machine learning / deep learning methods including neural network design, computer vision / image analysis, and statistical analysis. Preference is for candidates with experience with common open source scientific computing/machine learning libraries including: scipy, pandas, statsmodel, OpenCV, XGBoost, PyTorch / TensorFlow.
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Proficiency in statistical methods (eg, linear regression, logistic regression, survival analysis, ARIMA), AI/machine learning techniques (eg, Random Forest, XGboost, Clustering, Neural Network, NLP, Image Recognition) and programming languages (eg, Python, R, SAS, SQL.
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We are looking for a full-time algorithm Research Scientist who is passionate on pioneering Machine Learning, Deep Learning, Reinforcement Learning, Foundation Models for image processing and computer vision applications in semiconductor process control business.
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Develop and maintain computational methods using deep learning for pathological image processing. With Three years of experience in scientific software development/analysis (specifically in Python, image processing and Deep Learning.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiarity with Linux programming/Python/ROS/image processing/Machine learning/DSP programming/TI SDK experience. Familiarity with sensor modalities used in robotics and autonomous driving applications (Camera / Vision, RADAR, LIDAR, INS / IMU.
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Computer vision, image analysis, machine learning, algorithms, bioinformatics, physics, statistics. Implements and develops computational analysis pipelines for spatial transcriptomics data and other new kinds of spatial data, implements and develops image analysis software for analyzing microscope images, and produces graphs and data presentations.
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We work as a team: We are a collaborative company comprised of highly-educated industry leaders in radar systems, image and signal processing, machine learning, hardware development, and software engineering.
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Academic background in Applied Mathematics, Machine Learning, classical Computer vision, Image recognition, and Perception systems. Python, and Matlab-Simulink and have developed software from architecture to production-level code in software, machine learning, and perception environments.
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