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Experience with physical modeling, underwater acoustics, wave propagation, signal processing and/or sonar; detection, localization, tracking and classification algorithms and applications; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience.
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For nearly four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Knowledge of discrete-time and continuous-time signal processing. Develop CMOS mixed-signal circuitry from concept to production.
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IMSA Traffic Signal Level I Technician and Workzone certifications or ability to obtain within 12 months of employment. IMSA Traffic Signal Level II or III preferred Technician preferred.
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Design knowledge of high-speed I/O SerDes architectures and blocks, plus general mixed-signal IP, e.g. CTLE, FFE, DFE, VGA, CDR, PLL/DLL, TX driver, EMC, GPIO, etc. Provide expertise in translating post-silicon learnings into suggestions for the new IP design process for SerDes IP. PREFERRED EXPERIENCE: 10-15 years of professional experience in the semiconductor industry doing analog mixed-signal circuit/system design, analysis, validation and/or test, characterization and debug.
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As a Senior Modeling, Simulation, & Analysis Engineer , you will participate in multi-disciplinary work across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations.
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Minimum 3 Years of field experience working with Crude Processing Facilities is requiredExpert in process simulation modelling such as Aspen Hysys. Must have minimum 10 years of experience working directly with Oil processing including Gas / Liquid Gravity Separators, Liquid / Liquid Gravity Separators, Electrostatic Coalescers, Crude Stabilizers, Gas Compression Units, Primary and Secondary Water Treatment.
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Travel Sterile Processing Tech | Austin, TX. Triage is seeking an experienced Sterile Processing Technician for an exciting Travel Allied job in Austin, TX. Shift: Inquire Start Date: 08/11/2024 Duration: 13 weeks Pay: $1384.92 / Week.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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Data Science | Machine Learning | Statistics | Mathematics | Health-tech | Electronics | Wellbeing | Applied Science | Generative AI | Artificial Intelligence | Multimodal | Speech | Audio | Text Extraction | Stakeholder Management | Technical Leadership | Natural Language Processing | NLP | Computational Linguistics.
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Good understanding across multiple domains of forecasting, clustering, classification, econometrics, optimization, Bayesian statistics, neural networks, deep learning, natural language processing, LLM, and other machine learning and AI methodologies.
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Working knowledge of statistical processing software such as JMP.Opto-Mechanical design (Solidworks, Fusion 360 etc.) The team features a collaborative and hands-on environment that fosters engineering excellence, creativity, and innovation in the interdisciplinary areas of optical metrology and testing, device fabrication, display technologies, image processing, and color sciences.
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Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. Contributions to open-source projects related to data science and machine learning.
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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics. Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics is required.
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Knowledge of device physics, sram/digital/analog-mixed-signal design and/or DFT. Knowledge of device physics, sram/digital/analog-mixed-signal design and/or DFT. Broad expertise in FinFet/GAA/BPD process technology, structural/functional test concepts, characterization of sram/logic and DFT / SW diagnostics concepts.
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signal processing machine jobs in Austin, TX
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