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applicants from a wide range of disciplines proposing other or complementary approaches from those disciplines e.g. political science, public policy analysis, human geography, anthropology, sociology, critical
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. The successful candidate will work on: ‘Addressing Critical Gaps in Childhood-Onset Hyperkinetic Movement Disorders’, led by Dr. Gimeno. ‘Digesting Science’, a national initiative educating children about multiple
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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responsible for cleaning and manipulating datasets for analysis, undertaking complex statistical analyses and presenting the results for discussion and interpretation. About You The post would be ideally suited
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invasive surgery. Essential skills include system integration, Image processing, data analysis, and excellent written and verbal communication. The ability to work both independently and as part of a
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epidemiological research. Strong quantitative data analysis skills and applied understanding of epidemiological principles are required. They must possess excellent interpersonal communication skills and be
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the invasion-critical RIPR protein complex; we will characterise cross-protective neutralising epitopes in PkRIPR and PvRIPR and we will define the precise mechanism of how neutralising cross-protective RIPR
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meticulous approach to data collection, analysis and preparing manuscript for publication. A demonstrated ability to communicate well, work within a team, and deliver projects within an agreed timeframe is
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to other aspects of the quantitative analysis. Specifically this may include coordinating and maintaining close working partnerships with collaborating GP practices, patient and members of the public and key
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling