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Field
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-making, and explainable reinforcement learning for large-scale public-health applications. You will: develop new multi-criteria reinforcement learning algorithms for complex decision problems: you design
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. The project will adopt a systems perspective to examine interoperability across preparedness, response and recovery phases. It will explore how policies, command structures, data sharing arrangements and
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recherche scientifique (F.R.S.-FNRS) and the Swiss National Science Foundation. PangenomiX aims to study how structural variants (SV) on the sex chromosomes contribute to genetic variation in complex traits
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of objects, but current techniques are limited to small particles (micrometer to millimeter scale). In optics, the slowing down of light ("slow light") in structured media significantly amplifies radiation
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control performance and efficiency. This PhD project focuses on data-driven analysis of confined liquids structure, informed by total neutron scattering. The emphasis is on developing new analysis
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in life-science research. The work will focus on the design of practical, inexpensive, and easy-to-handle intermediates that can be transformed into a broad range of valuable structures and
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complex, three-dimensional microstructure, and understanding how that microstructure influences electrochemical performance requires methods that can bridge the scales from 3D imaging to functional
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substituted with vinyl units are key structural motifs in many biologically active molecules and complex natural products. Their efficient and selective construction remains a major challenge in modern organic
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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Effective response to major incidents depends not only on clinical capability but also on communication and coordination across complex, multi-agency systems. Failures in information flow, shared