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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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Proficiency with image processing, machine learning, and deep learning techniques. Create machine learning-based pipelines to identify changes in spatial omics patterns of gene and protein expression in tumor tissues.
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As a premier Magnet teaching hospital, you’ll find an environment that’s alive with learning, rooted in care and compassion, and home to thought leadership and unwavering support. Candidates with a PhD in bioengineering, computer science, physics, mathematics, statistics, cell and molecular biology, biotechnology, or any related field in the life sciences with strong expertise in computational biology and bioinformatics highly preferred.
$80,196 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applicationsThe essential requirements of the job include:Â Master's degree in electrical/computer/biomedical engineering.
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Experience working on digital signal processing, audio deep learning, or multi-modal models that involve audio is a plus. Bose Research is searching for an outstanding machine learning engineer working on efficient deep learning to join our research team.
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Solid understanding of digital signal processing theory and algorithms, with a focus on wireless communication systems and standards (e.g., 5G, LTE, Wi-Fi). Role overview:As a DSP Software Engineer specializing in 5G wireless communication systems, you will play a key role in designing, implementing, and optimizing digital signal processing algorithms and software for next-generation wireless communication systems.
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O Oversee the integration of software (inclusive of laboratory information systems and partner informatics), image analysis, machine learning/AI, biological and synthetic reagents, internally developed hardware systems and off-the-shelf blood processing equipment.
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In this role, you will: ·Design and develop digital signal processing algorithms for various aspects of 5G wireless communication systems, including modulation/demodulation, channel coding/decoding, synchronization, and beamforming.
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The Principal Software Engineer - FPGA and DSP (Digital Signal Processing) will be responsible for the design and development of embedded DSP and software infrastructure IP blocks, targeting application areas experiencing increasing emphasis on the foundational and advanced communication algorithms and the associated signal processing for SATCOM/Telemetry/EW/Radar applications.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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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. Sight and Sound play a large role in our day-to-day experiences.
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About the DepartmentThe department has vibrant research programs in electronics, optics and photonics, communications, networking, signal processing and energy systems. Particular areas of excellence include 2D materials and devices, widebandgap and ultrawidebandgap devices, nanoelectronic, nanophotonic materials and devices, terahertz electronics and communications, wireless communications, cognitive radio and dynamic spectrum access, Internet of Things, big data and machine learning, smart grids and power electronics.
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machine learning signal processing image jobs Company: Dolby
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