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Field
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methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning, computational statistics, and
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optoelectronic applications, such as hybrid perovskites, MOFs, and materials for energy in general, as well as systems at the interface between life sciences and materials science. The research line has close
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and electrocatalysts for sulfur redox reactions. We encourage applicants with a range of skill sets to apply. The candidate will work within the Nottingham Applied Materials and Interfaces Group
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the supervision of Professor Rosemary Dyson, in the School of Mathematics (in the College of Engineering and Physical Sciences), and interface with the SUM4Products Network. Background The formulated product sector
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Engineering at the University of Sheffield. A leading centre for machine learning, robotics, and autonomous systems. The student will join a research group working at the interface of machine learning, control
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various aspects of the process—such as thermodynamics, dissolution/growth kinetics, growth interface dynamics, and the generation and elimination of defects—through a multiscale and multiphysics approach
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Associate. We study the structures of viral glycoproteins, their interactions with host molecules, and their roles in viral entry. Working at the interface of basic and translational research, we collaborate
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research has focused on optimizing materials chemistry to improve performance. Despite these advances, the fundamental processes governing electrochemical interfaces, particularly their degradation and
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for root architecture studies and advanced soil and plant analytical capabilities. You will receive expert supervision at the interface of agronomy, soil science, and sugar beet production, with hands
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activity component. At the interface between environmental radiochemistry, soil geochemistry and microbial ecology, this research will contribute to improving our understanding of the mechanisms controlling