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Field
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, telecommunications or related field. Other requirements include Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design
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their coupling to phonon sources (surface acoustic waves) and phonon detectors for phonon signal modulation; Contribute to the group’s dynamics taking part in common research and methodology development
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who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research
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possible). The usual starting salary is grade 7, spine point 30 (£38,249 per year before taxes). A World Top 100 department, the at Durham is one of the very best in the UK, with an outstanding reputation
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perception with a comparative, cross-species (animal – human) component. The selected candidate will establish a non-human primate (NHP) model of scalp EEG signals related to perception, compare it to human
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curriculum vitae according to the items in point 6; c) Copies of papers selected by the applicant as being most representative of their curriculum vitae, no more than five; d) Presentation of a single document
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to investigate structure-property relationships of the synthesized materials both from fundamental point of view and for industrial application in CO2 separation and storage processes; You are open to
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outputs in lidar technology and real-time wind-field reconstruction. Expert in wind turbine response analysis. HAWC2 user expert. Demonstrated expertise in data analysis and signal processing with large
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Foundation. Initially funded for five years, it puts justice at the heart of sustainability transformations: the Centre¿s motivations are to support a just transition to net zero by transforming the processes
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integration of heterogeneous data sources. Experience with signal processing and statistical modeling of high-dimensional data. Strong programming skills in Python and relevant ML frameworks (PyTorch