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- 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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, preferably in Biological Science, Biomedical Science or other related disciplines Research experience in the areas of lipid metabolism, HDL function and NAFLD Good command of written and spoken English and
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hardware description languages (HDLs) such as Verilog or VHDL Strong understanding of digital design principles and embedded systems Proficiency in low-level programming languages such as C, Rust and RISC-V
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science and technology, health, industry partners, as well as personnel responsible for ICT, data security, privacy concerns and more. Working environment: The Health Data Lab (HDL) is a research group at
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, privacy concerns and more. The UiT team will collaborate with the other research teams within the TRUSTING consortium. The Health Data Lab (HDL) is a research group at the Department of Computer Science
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Python • Experience with Matlab/Simulink for embedded systems • Experience with Matlab HDL Coder • Experience with RFSoC devices Desirable Education and/or Experience • Experience with Vivado (Xilinx
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UltraScale+ RFSoC, Altera Cyclone SoC); Good knowledge of C/C++ and familiarity with Verilog/VHDL HDL and communication between FPGA and CPU cores. The experiment control and automation of routine experimental
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with a CardioChek Plus analyler (for Total Cholesterol, HDL, LDL, TRIG, and Glucose), obtaining a manual blood pressure, and measuring weight body composition Other duties (20%) Complete required
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modeling tools and HDL simulators to validate functionality. Collaborate closely with algorithm designers to co-optimize architecture. Publish results in high-impact journals and conferences. Qualifications
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implications of speech and / or neurotechnologies in such applications of AI and their relevance for minority groups. Working environment: The Health Data Lab (HDL) is a research group at the Department