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://www.academictransfer.com/en/jobs/359394/phd-in-multi-modal-ai-for-uav-b… Requirements Specific Requirements A master’s degree in Electrical Engineering, Computer Science, Artificial Intelligence or in a strongly related
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of deep learning in many disciplines, particularly computer vision and image processing. Consequently, coding architectures based on deep learning and end-to-end optimization have been proposed [Ding 2021
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. Eligibility criteria We are looking for a highly motivated PhD candidate who meets the following profile: Candidates must hold a Master’s degree in electrical or computer engineering (or a closely related field
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modeling of quantum computer systems. This can be either a holder of a PhD in computer science and/or engineering (computer architecture and HPC related topics) with knowledge in quantum computing or a PhD
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Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 11-month fixed term contract Salary Range: $114,917 - $135,932 per
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staff position within a Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 2-year fixed term with a possibility for +1
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Mar-26 Location: Houston, Texas Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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, and support research project execution and reporting. Job Requirements: A completed PhD in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline. Strong
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(PPA) analysis of processor and accelerator designs. Publish research findings in top-tier conferences and journals, and contribute to open-source hardware and EDA communities. Supervise and mentor PhD
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college, please https://www.khoury.northeastern.edu/ Responsibilities: Teach computer and information science courses for the undergraduate and graduate programs for the Khoury College of Computer Sciences