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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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supervisors and planning of the PhD project with the support of the TRACC Directors. The TRACC+ Clinical Research Training Fellowship (CRTF) involves a period of Out of Programme for Research (OOPR) for 3 years
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. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
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Application deadline: All year round How to apply: uom.link/pgr-apply-2425 UK students only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
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Learning Your role and goals Trustworthy & Adversarial Computing Lab (https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in trustworthy
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the major research gaps for eVTOL’s EMS, including 1-Inability of Rule-based EMS to guarantee optimal performance (doi.org/10. 3390/aerospace902011), 2- Violations with the constraints and missing safety in
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Programme Students will be recruited to a research cluster within each of the overarching research areas : Heat resilient agriculture (Sustainable Agriculture and Food Security) You will apply to this one
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multi-disciplinary team Strong communication skills, both written and verbal Qualifications PhD Awarded (for the position as Research Associate) in Mathematics or Statistics or Computer