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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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cardiovascular sciences. Proficiency in experimental design, data analysis, and interpretation. Excellent written and oral communication skills, with the ability to convey complex scientific concepts effectively
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deeper understanding of the complex relationship between climate controls (i.e. modes of variability) and extreme ocean temperature events such as MHWs, which is essential for predicting future climate
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and inference in complex systems. This is a two-year position, renewable for a third year, funded by the São Paulo Research Foundation (FAPESP) through grant number 23/13453-5 , with the following
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and inference in complex systems. This is a two-year position, renewable for a third year, funded by the São Paulo Research Foundation (FAPESP) through grant number 23/13453-5 , with the following
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collaboration with physicians from Hospital das Clínicas (HC), the hospital complex run by the University of São Paulo's Medical School (FMUSP). Candidates must have previous experience in molecular microbiology
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potential applications in biomedical discovery, literature mining, and cross-domain reasoning. 2. Deep Surrogate Models for Complex Scientific Systems This theme focuses on building deep learning-based
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the complexation process. In parallel, these systems will be evaluated as organocatalysts, with the ultimate goal of achieving highly enantioselective transformations. Candidates should hold a PhD in chemistry and
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 15 days ago
on the precise control of quantum information in complex systems, yet the fundamental processes that govern how information spreads, scrambles, or becomes inaccessible remain poorly understood. In particular
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis