557 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" "Univ" PhD positions in United Kingdom
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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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statistics component Evidence of interest or experience in clinical trials methodology and adaptive designs Funding information stipend (tax free) of £21,843 pa for 3 years + home tuition fees (overseas fees
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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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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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considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including
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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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Development”, funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel theoretical frameworks to shed light on how the accumulation and utilization
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of macrosopic quantum coherence in levitated solidstate platforms. Our Team is part of the Quantum Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics. We are member of the Vienna