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. This position will focus on designing, optimizing, and implementing chemical biology and sequencing-based approaches to better understand how RNA structure and dynamics influence protein recognition
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global scales; national security and critical minerals governance; principles and norms for mitigating environmental and social impacts from mining; and institutional design and practices for addressing
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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, this section studies the interactions between people and their built environments, and the effects of urban design on their behaviour. The postdoc project is conducted in strong collaboration with researchers
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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. Responsibilities Design, deploy, and validate the federated learning infrastructure of the GLIOGEN-X project. Configure and coordinate the Fed-BioMed platform at participating centers. Ensure data security, privacy
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, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission