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We wish to appoint a Research Fellow/Senior Research Assistant for a duration of four months full time/part time equivalent to work within a research team to conduct a mixed methods evaluation of
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the University of Oxford, the postholder will conduct scientific research that refines existing methods, sheds light on the impacts of climate change in understudied regions, and informs adaptation and legal
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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) results in enormous paradigms marked solely by the modulation of vowel properties. The NILOMORPH combines fieldwork, experimental methods, and historical linguistics to account for the phonological
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) results in enormous paradigms marked solely by the modulation of vowel properties. The NILOMORPH combines fieldwork, experimental methods, and historical linguistics to account for the phonological
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and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft design. Proficiency in Python
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to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. The successful applicant will be able to present information on research
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demonstrable experience in analysing datasets such as infectious disease surveillance, applying statistical methods, and interpreting output. Further particulars are included in the job description. The post is
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and New Year. • Our reward scheme grants bonuses of numerous values for excellent work. • We are committed to staff development through the provision of training, continued support, and career
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experience and understanding of statistical analysis methods using Stata, including descriptive statistics and regression analysis of large complex datasets, as well as epidemiological concepts. Customer