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cutting-edge research in quantum sciences and fosters future innovation. As a doctoral candidate, you will be part of the Vienna Doctoral School in Physics (VDSP), a vibrant community of over 100 quantum
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leadership skills and experiences which will prepare them to take a leading role in future aviation and aerospace innovation. Graduates of the CDT in Net Zero Aviation will be equipped with a unique
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and an interest in and familiarity with computational protein engineering approaches is essential. Hands-on experience in computational protein design and engineering is desirable. The ability to work
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engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype development would be
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at the security check (SC) level, which makes the restriction to UK nationals necessary). Expected starting date October 2025. We are seeking candidates with: Relevant subject matter experience at required level
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functional features that enabled them to respond to environmental cues, including temperature, pH, light, magnetic fields, and ultrasound. This project will develop the materials, methods, and designs
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plan in collaboration with PhD supervisors Achieve ethical and governance approvals to undertake research Achieve publication of research in appropriate peer reviewed journals Present research
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of the infrastructure, design and execution of large‑scale measurement campaigns, and development of data‑driven models for room acoustics and spatial‑audio. The specific research direction will be finalised after
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, overcoming the tough fungal cell wall. You’ll also design robust workflows for targeted long-read sequencing of clinical and environmental samples, enabling accurate identification and resistance genotyping
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: Framework Development: Design and implement a generative deep learning framework for cross-modal integration and analysis, resilient to distribution shifts. Correlation Discovery: Identify interpretable