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movements and policy; leads convenings and communications that deepen and broaden our reach into key audiences; engages in strategic collaborations that leverage our strengths for broader impact; and models
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vulnerability modeling, and (c) population and built environment exposure to climate hazards. The broad agenda of this research is assessing the fitness of geospatial indicators to inform conceptual and policy
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Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke and Dr. Todd Snider. The project seeks to investigate cognitively plausible models
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selected researchers will contribute to both experimental and modeling activities involving sorption and condensation technologies, solar thermal integration, and system optimization. Responsibilities will
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artificial intelligence for advanced modeling and analysis. The successful candidate must be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex
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architecture/design, the postdoctoral fellow will be intimately involved in all aspects of the research, including the conceptualization, design, performance, analysis, and modeling of the results of VR
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machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education. Develop
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performance. Its role is pivotal in the overall performance and safety of the vehicle, underscoring the importance of our work in this field. Various algorithms, models, and signals control different components
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research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and
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transmission of Zika virus, a matter of public health importance. Successful candidates must have conceptual and experimental expertise in mouse models and virology. Knowledge of mouse genetics and experience