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of microalgal biomass. The PhD student will join the Life Cycle Sustainability (LCS) group and will collaborate with other international research partners. LCS brings together multiple competences within
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Sarah Kate Bearman). (2) NAMI-funded pilot study of flexible mental health literacy program for middle school students (PIs Sarah Kate Bearman and Molly Lopez (UT Austin)). (3) Foundation-funded
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seeking a motivated Researcher 2 to join our team. This position is critical to CFAES’s research and Extension mission, supporting projects such as the Overholt Drainage Education and Research Program, the
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Programme duration 6 semesters Beginning Only for doctoral programmes: any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams currently lack guidance on how to create sustainable systems. You
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shadows Strong mathematical education, in particular in relation to linear algebra Programming experience is a plus Ability to effectively communicate in written and spoken English Ability to work
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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is to address these challenges by developing innovative integrated chassis controllers and processes that seamlessly coordinate multiple actuators from the outset. The research will explore advanced AI
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is to address these challenges by developing innovative integrated chassis controllers and processes that seamlessly coordinate multiple actuators from the outset. The research will explore model-based