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Job description PhD Researcher for next-generation WiFi chip design on Software-Defined Radio About the employer Ghent University is a world of its own. Employing more than 15.000 people, it is
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. The research will also involve using software-defined radios (SDR) and digital signal processing for antenna beamforming. The payload may also be used to detect GNSS jamming and spoofing events. The project is
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 16 days ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and
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everyday practices of street-level bureaucrats and private actors involved in eviction processes. Using a comparative mixed-methods approach, the project combines: Quantitative analysis of eviction court
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new member for our working group “Process Engineering for Fiber Plants” in the department “System Process Engineering”, starting on April 1, 2026. Scientist (for PhD) (m/f/d) In the DFG-SFB, coordinated
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software code • Use of software in a multiprocessor environment Method of proof: Teaching relevant courses at a tertiary institution/ Relevant publications/ Subject of a PhD Publications in journals related
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engineeringEducation LevelMaster Degree or equivalent Research FieldEngineering » Process engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications SKILLS/QUALIFICATIONS Awarded PhD degree in the field
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! ABOUT THE SCHOOL OF SCIENCE, ENGINEERING AND TECHNOLOGY (SSET) For further information about SSET, please visit our website: https://www.rmit.edu.vn/about-us/schools-and-centres/school-of-science
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Documents: Motivation letter explaining the interest in the position, Detailed Curriculum Vitae with transcripts and, degree certificate. Apply online clicking on the “Apply Now” button in this form (https
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit