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analyse qualitative and quantitative data on self-compassion from participants in multiple cultural contexts. 3. Examine the relationship between self-compassion, self-esteem, and positive self-regards in
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Cranfield is an exclusively postgraduate university that is a global leader for transformational research and education in technology and management. Research Excellence Framework 2014 (REF) has recognised 81% of Cranfield’s research as world leading or internationally excellent in its quality....
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), different sets of samples will be prepared to conduct microscopic and rheological characterisations. Afterwards, further samples will be prepared that will undergo various mechanical tests (e.g., viscoelastic
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
and compounds to create test environments to trigger bacterial responses. Using transcriptomic, proteomic and metabolomic analyses, we will monitor the responsiveness of several bacterial species
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Following NICE Guidance, NHS England (NHSE) has advocated using Coronary Computed Tomographic Angiography (CCTA) as the first line diagnostic test for suspected symptomatic coronary artery disease
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appropriate statistical testing to test the efficacy of the models. The project forms part of a wider effort for developing an effective VR HRI toolkit for improving interactive fluidity between robots and
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metascintillator prototypes towards clinical application. The research will combine experimental surface engineering, advanced materials characterisation (SEM, XRD, spectroscopy), and performance testing alongside
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formulations & application methods, and comprehensive performance tests, including water contact angle measurements, breathability tests, absorption tests, biological resistance assays, and environmental chamber
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and