152 evolution-"https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
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to address real world challenges with key opinion-formers to help support sustainable chemical development and create non-toxic urban & rural landscapes. Project details: The aim of this project is to consider
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; coordinating self-assembly with self-folding; and incorporating sensing or actuation to enable assembled structures to respond to their surroundings. Biological ideas such as selective recognition, development
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challenges with key opinion-formers to help support sustainable chemical development and create non-toxic urban & rural landscapes. Project details: Citizen’s behaviour contributes to pollution in water
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partners, is part of the NERC-funded ECOSOLUTIONS Doctoral Focal Award, and offers the opportunity to address real world challenges with key opinion-formers to help support sustainable chemical development
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-funded ECOSOLUTIONS Doctoral Focal Award, and offers the opportunity to address real world challenges with key opinion-formers to help support sustainable chemical development and create non-toxic urban
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the opportunity to address real world challenges with key opinion-formers to help support sustainable chemical development and create non-toxic urban & rural landscapes. Project details: Our goal is to provide a
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to address real world challenges with key opinion-formers to help support sustainable chemical development and create non-toxic urban & rural landscapes. Project details: This project will develop new sensing
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support sustainable chemical development and create non-toxic urban & rural landscapes. Project details: The UKs industrial past has left a lasting environmental legacy, with pollutants, including black
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part of the NERC-funded ECOSOLUTIONS Doctoral Focal Award, and offers the opportunity to address real world challenges with key opinion-formers to help support sustainable chemical development and create
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the strengths and vulnerabilities of self-assembling robotic matter, using systems such as Roblets as a starting point. It will examine how AI can support the development of resilient modular robots and how AI