Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
Neuromorphic and AI-Optimized Processors – Design AI-specific chip architectures, including neuromorphic and domain-specific accelerators (TPUs, NPUs, FPGAs), for low-power and real-time AI processing. AI-Driven
-
can understand their limitations and take those into account in your design for test strategy. Experience with either PCB, demo board design or FPGA programming is a plus. Experience with automatic
-
parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
-
processing techniques using field-programmable gate arrays (FPGAs), alongside analog and digital circuit design. This research underpins biomedical applications, with a particular focus on early melanoma
-
. Familiarity and understanding of microwave and RF measurement circuit elements and instruments Familiarity with Field Programmable Gate Array (FPGA) operation and coding Skills Needed: Knowledge, understanding
-
. Prior exposure to hybrid analog-digital beamforming architectures. 9. Knowledge of FPGA or GPU-based signal-processing platforms. 10. Experience in THz or sub-mm-wave measurement setups
-
Radix Trading LLC, Research Position ID: Radix Trading LLC -Research -FPGA [#29707] Position Title: Position Location: Chicago, Illinois 60654, United States of America [map ] Subject Area
-
implementations on deeply embedded platforms FPGA development, including test and verification Schematic entry and PCB Layout using Altium Designer ECAD/MCAD co-design using Solidworks ARM Cortex M 32-bit
-
. The advertised position revolves around design and test of custom radio-frequency electronic circuits based on field-programmable gate arrays (FPGA, up to 20GHz) to drive high-speed electro-optic modulators, quasi
-
preferred; Hands- on experience in one of the following areas and desire to cross the boundaries and learn new things Embedded software development for the FPGA / CPU SoC systems (for example, Zynq 7000, Zynq