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Field
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. You must have demonstrated experience in in in vivo models of inflammatory disease and a flexible approach to dealing with research problems as they arise. You must demonstrate excellent communication
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and ocean alkalinity enhancement (OAE). The successful candidate will lead field, laboratory, and modeling studies that quantify the biogeochemical impacts of alkalinity addition in coastal ecosystems
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-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will
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the commercialisation of all-solid-state batteries. Of particular interest is the development of electro-chemo-mechanical phase field models to predict void evolution and dendrite growth (see, e.g., doi.org/10.1016
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AgriLife and make a difference in the world! Position Information: The successful candidate will contribute to developing and evaluating terrestrial and aquatic nitrogen dynamics and emission modeling, with
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with application to engineering. The research will focus on the foundations of reliability, uncertainty quantification, and calibration in AI models, addressing the challenges posed by non-deterministic
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a teacher/scholar model. Read more about the program . The Teaching Pathway Postdoctoral Faculty position is for two years. Postdoctoral faculty teach courses in their area of expertise, continue
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(model-based) systems engineering, whilst applying systems analysis techniques based on formal methods, AI, and optimisation and will be expected to submit publications to top-tier conferences and journals
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developing the theoretical and algorithmic foundations of compositional world models. A key application focus of the grant lies in rapid and safe real-world skill acquisition in application domains such as
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in immunology or a related field. You should demonstrate proficiency in innate and adaptive immune cell assays such as flow cytometry and ELISA, and have proven experience in in vivo models