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or internationally excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics Agency Ltd). Cranfield
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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications
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Studies Law Linguistics and English Language Middle Eastern Studies Planning, Property and Environmental Management Politics Russian and East European Studies Social Anthropology Social Statistics Sociology
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half years to complete. Ideal candidate This PhD research opportunity would suit someone with a strong quantitative background (e.g. econometrics, statistics), and an interest in applying their skills
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of Reference for Languages (CEFR) Technical equipment and programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will
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(compulsory) Lecture series Expert courses Summer schools Soft skills courses Training in scientific programming and statistic software Project management, computer literacy Presentation, communication Writing
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, (food) marketing, or related social sciences disciplines, strong analytical skills, experience with relevant statistical methods, proven interest in topics related to sustainable food systems, and strong
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computer science, bioinformatics, physics, engineering, computer science, statistics, mathematics) or in health science related fields (e.g. medicine, veterinary medicine, pharmacy, life sciences) is mandatory
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different modules. Examples of these modules include the following: introductory modules (international health fundamentals and policy & politics), basic research topics, statistics, scientific management