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program connecting complex carbohydrate structural analysis with application. The successful candidate will become an integral member of the Whistler Center and the Department of Food Science, contributing
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problem-solving skills and deep expertise in the development of complex computational models. Candidates who have not yet acquired their PhD would be appointed at the Research Assistant level. The
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Programme in Linguistics or Language Acquisition – a condition. Research focus on L2 or multilingual acquisition of grammar – a condition. Experience in the field is not required. Language skills Knowledge
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. This project will focus directly on the evolution of common ground. We will explore the implied cognitive complexity of great ape communication to identify evolutionary trends and simulate dynamics that might
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to theorizing about the evolution of common ground, one of the central research topics of the Collaborative Research Center in which this project is embedded. We will explore the implied cognitive complexity
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experience Ph.D. – Doctoral Degree Programme in Linguistics or Second Language Acquisition is required. Focus on phonology and/or morphosyntax is an advantage. Experience in usage-based methodologies is an
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computational approaches. You will play a hands-on role in generating and analysing high-quality data that fuels discoveries, publications and therapeutic innovation. https://www.rdm.ox.ac.uk/research
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-diseases/ . This is an exciting opportunity to collaborate with computational and wet-lab scientists at the forefront of pioneering research. You will be responsible for designing and implementing proteomic
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therapeutics will be tested in these models, such as vagus nerve stimulation and anti-inflammatory compounds. Some of these scientific questions will further address the complexity of innate immune signaling
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Internal Number: 118148-en_US We are seeking a motivated and dedicated Ph.D. Candidate for a Research Assistantship within the Pediatric Pulmonology Global Program to service as a Global Research Assistant