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Masters of Science or Ph. D. in Image Processing or Digital Signal Processing preferred. 10-12 years of experience in image processing, digital signal processing or related field.
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Digital Signal Processing and Design: Active noise cancellation, automatic line-enhancement signal processing, Kalman filters, Digital Up/Down Converters, CIC Filters, Polyphase and Half-band Filters, A/D Converters, D/A Converters, DDR, Digital Waveform Generators, Mixed Signal CCAs, Mixed Signal Modules and Subsystems.
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Typically requires a Bachelor's degree in Electrical Engineering or related Science, Technology, Engineering or Mathematics (STEM) degree discipline and a minimum of 10+ years of experience in one or more of the following areas: Digital Signal Processing with experience in digital noise cancellation, Kalman filters, and multi-rate signal processing for communication systems.
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Experience in real-time instrumentation control of Vision, motion control, digital signal processing and data acquisition systems used in metrology, physics, chemistry, or engineering. Knowledge of mathematics, physics, digital signal processing theory and implementation, control systems, algorithm principles & design, electronics, materials & optics to create new technologies and enhancements to existing systems.
$133,000 - $175,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Typically requires a Bachelor's degree in Electrical Engineering or related Science, Technology, Engineering or Mathematics (STEM) degree discipline and a minimum of 8+ years of experience in one or more of the following areas: Digital Signal Processing.
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Responsible for materials and semiconductor device modeling/simulation using in-house or commercial softwares such as FIMMWAVE, Silense, Lumerical, or equivalent, in order to direct development towards device performance improvement and evaluation of novel device architecture.
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Design, simulate, implement, and test analog/mixed-signal CMOS transistor level circuit designs. Knowledgeable in CMOS analog/mixed-signal design. Understanding of key challenges in sensor design (mitigation of signal and power supply crosstalk.
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Appropriate examples include: hydraulic modeling software (WaterCAD / SewerCAD / Autodesk SSA, computer aided drafting software (AutoCAD Civil 3D), GIS software (ArcGIS). Ability to operate standard Civil Engineering software/design tools for routine system modeling, design calculation, analysis and interpretation.
$128,200 - $206,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical capabilities focused on water resources modeling, hydrogeologic modeling, water quality modeling, hazard identification and analysis, vulnerability, and risk assessment, climate change science, or other related fields.
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The Marine Science Institute at the University of California, Santa Barbara, seeks a Postdoctoral Researcher in Quantitative Population Ecology and Statistical Modeling to study the interacting effects of extreme weather events, infectious disease, invasive species, and other factors on the site occupancy, abundance, and resilience of amphibian populations in California.
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Conduct engineering design of: Grading and proper drainage, Stormwater Management Facilities and Stormwater Conveyance Systems, Utility systems, including but not limited to sanitary sewer and water, Erosion and Sedimentation Control calculations and best management practices, Hydrology and hydraulics calculations and studies.
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The Postdoctoral Researcher would work closely with Drs. Cheryl Briggs and Samantha Stevenson at UC Santa Barbara, and Dr. Pieter Johnson at the University of Colorado, Boulder. Data sources include multiple multi-year time series of amphibian populations, pathogens, invasive species, and other aspects of the freshwater systems, collected from many ponds distributed across a landscape, climate data, and data on the physical properties of the ponds on the landscape.
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Social media analysis and predictive modeling. Molecular, cellular, ecosystems, marine science, and biology research. These teams develop biologically inspired, revolutionary technological innovations in systems and synthetic biology, materials science and engineering, biotechnology tools and cognitive neuroscience.
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Digital/Analog signal processing design skills working with ADC’s and DAC’s Real-time high speed data analysis. Advanced signal processing and simulation. Lab experience in testing of products using logic analyzers, high-speed oscilloscopes, signal generators, and system on a chip debugging tools.
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Postdoctoral Researcher, Coupled Earth System Modeling – UC Santa Barbara. To apply, please upload a cover letter, statement of research, including a description of current research interests, experience with climate/Earth system modeling, and near-term research goals.
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signal processing modeling simulink jobs in Goleta, CA
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