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to multiple divisions within the University. As a central team of software experts, we are focused on improving the quality, performance, and sustainability of Princeton’s computational research software. Our
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include: Conducting innovative research and developing proof-of-concept designs, collaborating with sensor providers and other potential collaborators; Writing multiple research articles, collectively
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, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Project description: The Lithium-ion battery comprises multiple individual units known as "cells." Any
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systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software
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experience or equivalent. • Knowledge with building embedded control systems in Python or C++/C#. • Experience in machine vision and/or industrial automation. • Experience with PCB design, DAQ, and FPGA
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effectively with a range of stakeholders. Experience working with a range of computer systems and applications, including microwave/microelectronics and low-level software languages such as C/C++ and/or FPGA
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developing integrated systems to automate the acquisition and interpretation of neutron scattering data. You will contribute to the development of FPGA tools for real-time processing of live neutron
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California State University San Marcos | San Marcos, California | United States | about 12 hours ago
- Computer Science EE 301: Digital Systems Design with HDL Position: Lecturer - Academic Year Semester: Fall 2025 Days/Times: Varies multiple sections Modality: In-person College: College of Science, Technology
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engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL, SystemC), reconfigurable architectures (e.g. FPGA, CGRA) What we expect from you: above-average degree
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in advanced firmware design for state-of-the-art FPGA architectures. The role involves working with industry-standard tools (e.g., Intel Quartus or AMD Vivado, Modelsim/Questa), implementing high-speed