447 security-"https:"-"https:"-"https:"-"https:"-"Universidade-Portucalense-Infante-D" PhD positions
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, many current UV-filter ingredients raise concerns around safety and ecological impact. This PhD project addresses this urgent need by developing bio-inspired sunscreens, drawing on nature’s own solutions
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. UK Health Security Agency. Emergency Preparedness, Resilience and Response Frameworks. 3. National Audit Office. Lessons from Major Incidents and Emergencies. 4. Waring J, Bishop S. Interoperability in
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26th April 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a position as PhD Candidate in AI-native Orchestration and
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criminal background check (non-security sensitive) Number of Vacancies 1 Target Hire Date Expected End Date Contact Information for Candidates Office of Academic and Faculty Affairs | comphx-oafa@arizona.edu
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University's Equality, Diversity and Inclusion policy. The core values of the faculty for Humanities are professionalism, transparency, responsibility, connectedness and safety. These values apply to everyone
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Project Description The global transition toward a net-zero economy requires secure and sustainable supplies of critical minerals, with lithium forming the backbone of electric-vehicle batteries and
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available for UK home candidates. As sponsored by MTC, the successful candidate would need to pass the sponsors own security checks before starting the PhD. Start date: 10th April 2026 Closing date: 15th
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, allowing surgeons to operate on patients from different locations. However, communication delay remains a major safety challenge. Even small or unexpected delays can affect robot responsiveness and
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: Imagine a surgeon operating remotely through a robot—what if the network slows at a critical moment? Even tiny delays can risk patient safety. This PhD project develops new AI approaches to predict network
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Digital Twin for façade condition, fire safety risk classification, and maintenance planning Apply statistical and machine-learning methods to link climatic loads to degradation indicators Validate models