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opportunities to undertake activities such as helping in supervising MSc dissertations and PhD students as appropriate. Proven experience in the development of visual algorithms implemented in software as
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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are not limited to: network architecture design for NTN and terrestrial network (TN) convergence, intelligent traffic steering algorithms between TN and NTN, orchestration of TN/NTN resources for end-to-end
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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classical fluid systems and the burgeoning field of active and driven matter and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD
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initiatives. A PhD in Sociology (or related). Experience of providing teaching in Sociology, to both small and large groups across undergraduate and postgraduate units. Proven ability to teach in the following
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enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want to help build and maintain some of the largest
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and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD students or postdoctoral scholars who are comfortable crossing
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and the Wolfson Bioimaging Facility. You may also have the opportunity to train and work with junior researchers to support your project. You have a PhD (awarded or imminent) in relevant fields, or in
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to work across disciplines, with an interest (or willingness to develop expertise) in areas such as machine learning, route planning algorithms, aircraft design and testing, and systems engineering. For a