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or his/her designate, including but not limited to the following: - Independently conduct research on dengue virus-host interactions. Write and review research papers, present research outcomes
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generation of expressive digital musical instruments. You will design, develop, and evaluate algorithms for detecting tactile interactions with objects and mechanisms using high-fidelity hand-worn motion
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indicators changes, psychological state improvement mechanisms of natural environment intervention on human bodies. The researcher will participate in full-cycle project design, data collection, empirical
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transport, Boltzmann transport equations - Quantum kinetic equations, Berry curvature, and topological invariants - Linear and nonlinear optical response; light–matter interaction - Topological phases and
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developing an original research and innovation project through international mobility. DETECTIVE (Data driven Excellence in Training of Epidemiological, Clinical, Technological and Innovative Virus Experts) is
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research, and teaching across UCL Energy Institute , UCL Institute for Environmental Design and Engineering , UCL Institute for Sustainable Heritage , and UCL Institute for Sustainable Resources . The UCL
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modelling approaches. The position focuses on holistic catchment-scale studies and the development of scalable methods for monitoring the state, changes, and interactions of terrestrial and aquatic ecosystems
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(CFD) models, including fluid–structure interaction (FSI) simulations where appropriate, will be developed and validated against experimental measurements. These models will be used to investigate
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objective of ATMRI is to support research and innovation in air traffic management. ATMRI focuses on developing practical and data-driven solutions for complex aviation systems, in close collaboration with
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for Academic Performance . About You You will demonstrate: Completion of a PhD in computer science, cyber security, human-computer interaction, or a closely related discipline with a focus on privacy, provenance