924 evolution-"https:"-"https:"-"https:"-"https:"-"Robert-Gordon-University" PhD positions
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funded by the university with excellent opportunities for both research and career development. The newly established research group in Particle and Fiber Technology for bio-based Materials, led by Prof
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development. Who we are looking for We welcome applications from enthusiastic candidates with a degree in Chemistry, Biochemistry, Natural Sciences, or a related field (first‑class or strong upper second-class
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analysis, with the aim of understanding how quantum-safe cryptography can be effectively integrated into next-generation network architectures. The work will contribute to the development of secure
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/transmission for epidemic preparedness and to identify biomarkers for diagnostic and therapy. As part of our commitment to career development for research colleagues, the University has developed 3 levels
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laboratory analysis of polar ice core gases is highly desirable. The research will include system development and testing in the Ice Core Gas Lab at the British Antarctic Survey and an extended stay in
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lead to a PhD position at SPMS in NTU Singapore (based on performance). Key Responsibilities: Contribute to the development of algorithms Develop codebase in Python and perform large-scale simulations
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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bioavailability of micronutrients, and strategies to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets. Development
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an excellent environment for scientific development and collaboration. About BIPS The Leibniz Institute for Prevention Research and Epidemiology – BIPS is one of Germany’s largest and oldest research institutes
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development center (FFRDC) at Carnegie Mellon University. What you’ll do: Develop state of the art approaches for analyzing robustness of AI systems. Apply these approaches to understanding vulnerabilities in