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, multilevel and multidimensional measure of structural racism. The ideal candidate should possess a strong background in measurement theory and statistics, demonstrating mastery in structural equation modeling
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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evaluate field characterisation and monitoring data to develop geothermal resource models for individual project demonstration sites. About the person: Successful candidates need to: Have a PhD in Geology
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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. Hands-on expertise with microcontrollers (e.g. Arduino, STM32), embedded C/C++, and firmware development. Familiarity with BMS development or experience with other complex control systems such as motor
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search of an exceptional postdoctoral fellow to join the research team. The laboratory is situated in the heart of Michigan Medicine at the North Campus Research Complex in a newly renovated laboratory
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is a partner for the Alrek Health Cluster, Årstadveien, Bergen, and is supported by the Trond Mohn Foundation related to Complex Conditions and Ageing (CC.AGE). Read more about the project: https
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and journals. You will be expected to: Conduct cutting-edge research in: Multi-Agent Systems (MAS) for complex, dynamic, and uncertain environments. Multi-Agent Reinforcement Learning (MARL), including
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vegetables. Model bacterial pathogenic levels through complex survival and growth patterns. Utilize either data analysis or molecular analysis tools (or both) to inform strategies to optimize pre-harvest
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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object