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systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing on the development and performance assessment of externally bonded CFRP reinforcements using
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institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa
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techniques. This position also requires the ability to work in a highly collaborative environment with team members having a broad range of scientific and technical backgrounds and levels of experience. In
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the outcomes of SCC surgery. Job Responsibilities: As a PhD candidate, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and healthy tissues using both
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atmospheric and climate science, particularly on subseasonal timescales, and experience using machine learning methods. The postdoc will be advised by Dr. Marybeth Arcodia and includes collaborative efforts
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crisis, by 2050, Texas's population is expected to reach 40 million, creating unprecedented demands on resources and infrastructure. Our program’s mission is to advance collaborative research on resilience
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to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values
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intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
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Conduct independent and collaborative research within one or more of the D4H thematic areas Contribute to the development of training materials and workshops for doctoral candidates and facilitate exchange
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that can facilitate timely diagnosis and inform targeted interventions for infants vulnerable to delayed language development. The successful candidate will join a collaborative, multidisciplinary team