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ECTS. All applicants should have a grade point average of B (or equivalent) on their master’s degree in order to be admitted to the PhD programme. The grade point average also applies to 300 ECTS points
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3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation, remote object ranging
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subject from a reputable institution. Prospective candidates for this project should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing, electrical
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about this project. Funding Notes We welcome inquiries from: - applicants that have already secured PhD funding - self-funded applicants References https://microbialphysicsgroup.sites.sheffield.ac.uk
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signalling and repair responses, and to evaluate the impact of these processes on proteomic homeostasis. The project is expected to provide fundamental insights into how mechanical signals, DNA damage, and
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Investigating how DNA damage responses combat infections by the typhoid pathogen Salmonella enterica
Investigating how DNA damage responses combat infections by the typhoid pathogen Salmonella enterica School of Biosciences PhD Research Project Self Funded Dr D Humphreys Application Deadline
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these phase transitions are important in signaling transduction. The breakdown of these processes in cancerous cells has important implications for tumorigenesis. Salary and Benefits This position is salaried
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related to staff position within a Research Infrastructure? No Offer Description A PhD research position is available at KU Leuven, Department of Electrical Engineering (ESAT), division Processing Speech
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instrumentation for materials formulation, processing, characterisation and performance assessment. More information on these facilities can be found at: https://www.sheffield.ac.uk/royce-institute https
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in signal processing, AI, computer vision