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Hands-on experience with RF receiver technology, antenna systems, and signal processing is essential. The successful candidate will leverage their expertise in RF technology, signal processing, and advanced test equipment to contribute to cutting-edge projects.
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Data processing of hydrographic data may take place on board survey vessels, in shore-based temporary offices, or at the Newport, RI Leidos facility. Data processing may be performed on data collected by Leidos, or data collected by various customers.
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Services may include traffic signal design, ITS design, signal timing analyses, illumination/lighting, ADA/sidewalk design, signing, and pavement marking and design. Support the project team with traffic engineering studies such as traffic impact analyses, traffic signal timing plans, microscopic and macroscopic simulation modeling, signal warrants, speed studies, capacity analysis, traffic operations, safety analysis, and parking studies.
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The ideal candidate will have a background in epidemiology, computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Optical multi-input multi-output (MIMO) digital signal processing (DSP): Improving optical system throughput and bit error rate (BER) using post processing techniques. 4 or more years practical hands-on experience with photonic instruments and test equipment.
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Our advanced audio, voice, speech and artificial intelligent solutions combine breakthrough ultra-low power analog circuits, highly efficient power management systems and custom hardware accelerators to enable smart acoustic signal processing and AI functionality.
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Knowledge in image/video and signal processing, both algorithm design and implementation (for example, Encoding rate Control, scene change detection, sharpen filter, ROI, adaptive GOP structure and etc)- Experience working on NPU&DSP development- Experience with embedded processors like ARM Cortex M and R series or RISC-V architecture and boot mechanism, interrupt priorities and experience with configuring peripherals etc.
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Wanted : Versatile individual to join our team at Hands On Hartford as Homeless Outreach Nurse with Hands On Hartford (HOH). Why work at Hands On Hartford: Located in the vibrant Parkville neighborhood of Hartford, in partnership with others, strengthens community in Hartford by responding faithfully to people in need through programs that change lives and renew human possibility.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. What you’ll be doing:Working with business stakeholders and our delivery team to understand high value business problems that can be solved through the application of data processing and analytical systems.
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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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This pivotal role involves executing on the overall vision and strategy for cell classification algorithms, encompassing algorithm design and architecture, data processing, feature engineering, and the deployment of inference containers.
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Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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signal processing hands on data jobs Company: Leidos Inc
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