637 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" scholarships in United Kingdom
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involve extensive field-work at major nuclear laboratories, in particular in Finland, the United States and Canada. Skills in data analysis, scientific communication, radiation detection and measurement
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an English Language level of UKVI IELTs 6.5 (no sub-score below 6.0) or equivalent qualification. Further information Informal project related enquiries about the post can be made to Prof. Derek Ward-Thompson (DWard
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to think analytically and creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative
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: Developing and applying life-course chronology methods to understand trauma, adversity, and social instability across the lifespan. Collecting and analysing data on cPTSD symptom dimensions, inhibitory control
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the number of sensors required and the maintenance of the data acquisition system. Hence, the alternative of direct instrumentation of the structure, whilst effective, can be logistically expensive
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-I) remains a viable alternative but to date few studies have explored its use in pregnancy. There is no conclusive data available on long term efficacy, maternal and neonatal outcomes and whether its
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sequencing (NGS) data analysis. Through this interdisciplinary approach, the successful candidate will develop a highly sought-after skill set spanning clinical trials, microbiome science, molecular biology
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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more complex correlations between the channels. Moreover, this method does not allow to easily include information from different sources, for example from nuclear experiments. Additionally, for many
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(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators