Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
-
mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
-
analytical techniques while contributing to the optimization of toilet system performance through rigorous scientific analysis and data interpretation. Cranfield’s world-class expertise, large-scale facilities
-
toxicology and analytical chemistry, the student will acquire a suite of transferable skills, including project management, scientific communication, data analysis, and critical thinking. Graduates will leave
-
such as graph-based approaches and network analytics to predict how blue network dynamics, fragmentation and surrounding land use interact to shape ecosystem functioning and human wellbeing outcomes
-
relevant discipline/subject area. A minimum of English language proficiency (IELTS overall minimum score of 6.5). Also, the candidate is expected to: Have excellent analytical, reporting and communication
-
in-depth review of the literature on SBSP structures, LSS dynamics, and satellite control, leading to an informed trade-off of effective LSS configurations for SBSP. 2. Develop analytical and finite
-
technical skills in data analytics, AI, and systems engineering, you'll gain expertise in translating complex technology into business value—a rare and valuable combination. You'll develop strong project
-
This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
-
science, robotics, microbiology, environmental science, chemistry, physics or data science. Applications would be keen to blend hands‑on experimentation with advanced analytics to create low‑carbon, nature‑based