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-products and extraction of compounds such as proteins and among other bioactive molecules, as well as analitic skills in antioxidant, antimicrobial and microbiota meassuraments. Good command
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to Defence applications – through engagement, UK space command and NATO (ii) similar alignment to civil applications – through existing projects (iii) operational implementation & outreach through a project
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Denmark and Sweden. In this context, the present PhD Research Fellow will contribute to the DSQS by focusing on formation and identification of quantum defects. The work of the PhD Research Fellow will be
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, the project will provide practical models for hazard quantification and innovative methods for damage identification. The outcomes will enhance understanding of bridge behaviour under climate-related hazards
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, the successful applicant will work, together with the team, on online software for control and monitoring of the trigger, with performance studies. The Particle Physics group currently has 12 academic staff, 17
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autonomous robotic systems; •Proven knowledge of control architectures for cognitive robotic systems (preferably based on nonlinear dynamical systems in the form of neural dynamic fields); •Experience in
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students. Preferential factors: Experience in yeast and/or bacterial microbiology Experience in molecular biology Experience in the production and characterisation of controlled-release nanoparticle systems
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quantification and innovative methods for damage identification. The outcomes will enhance understanding of bridge behaviour under climate-related hazards and improve the safety and resilience of important
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opportunity to engage in focused interest areas as described below: Learning about identification, control and mitigation of deleterious two-level systems Engaging in Quantum instrumentation and control
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. Workplan and objectives to be achieved: The fellow will support the development and validation of innovative methodologies for the detection and control of viable but non-culturable (VBNC) pathogenic