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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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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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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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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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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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, 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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. 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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Take a leadership role in the development of a multi-strain Streptococcus pyogenes computational transmission model Full Time/2 Year Fixed Term Research Only Appointment, Remuneration at Academic
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models to predict TCR-peptide/MHC (pMHC) interactions. Utilizing structural computational biology techniques to characterize and model TCR-pMHC interactions. Designing experiments to test and validate