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Strong signal and information processing expertise (statistical signal processing, array processing, signal modeling, linear algebra, probability and random processes, optimization, tracking/data fusion, adaptive signal processing, digital signal processing, information theory.
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A particular emphasis is made on highly integrated RF systems underpinned by advanced signal processing. Job Description - Assistant Staff - Signal Processing The RF Technology group seeks a full-time entry-level engineer with background and interest in signal processing.
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Bachelor’s or Master’s degree (preferred) in Electrical Engineering, Computer Engineering, or a related field with a focus on signal processing. Develop and optimize digital signal processing (DSP) algorithms for FPGA implementation.
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Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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Hands-on experience with industrial automation hardware, sensor and actuator commissioning, and proficiency in PLC programming or microcontroller programming. · Proficiency in Model-Based-Design principles and best practices within the MATLAB/Simulink environment, coupled with extensive experience using MATLAB/Simulink toolboxes for control systems design, signal processing, and embedded C/C.
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The successful candidate will have demonstrated leadership skills and expertise in areas such as: RF, radar, communications systems, analog and digital signal processing, software-defined radios (SDRs), FPGA firmware and hardware development, microcontrollers and embedded processors, physics modeling and simulation, systems engineering, and test & evaluation.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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System architecture design and trade studies Proposal development and project execution Detailed electrical analysis and design for mixed-signal electronics Schematic capture, simulation, and PCB layout/oversight Prototype bring up and debugging Functional verification Performance characterization.
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Designing advanced architectures for high throughput signal processing, SoCs (Systems on Chip), radar, PNT, and secure solutions for hardware. Strong digital signal processing skills and experience mapping signal processing algorithms.
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Expertise in using Databricks platform on AWS for data processing and analytics. Leverage Databricks platform on AWS to build and manage data processing workflows and analytics, while adhering to development lifecycle standards.
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Implement row-level security on data and understand application security layer models in Power BI. Hands-on experience in creating and deploying Power BI reports, analytics, and dashboard solutions, including design, development, deployment, data engineering, and data management projects and practices.
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3+ years of hands-on experience as a quantitative developer developing financial models and software solutions. This is a hands-on development role where you will be 'embedded' within the quantitative research team and will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research.
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Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions. Job Title: Hands-On Engineering Manager Location: Newton, MA About Us: My client is a rapidly growing eCommerce beverage distribution company that achieved $200 million in revenue last They are at the forefront of revolutionizing the beverage industry by providing exceptional service and innovative solutions.
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Solid scientific track record with practical lab experience; hands-on experience with radiofrequency/microwave signal generation and measurement. Strong programming ability; preferably in python with an emphasis on data handling and experiment automation.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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signal processing hands on data jobs Company: Maxlinear in Woburn, MA
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