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Field
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strong emphasis on collaboration and concrete impact of our research. We are part of the mission focused programme NQCP, which spans the full quantum computing stack with more than 200 scientists
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is a growing recognition of the importance of skills forecasting as a tool for a future-proof approach to labour market changes and challenges that affect businesses and citizens (see Mario Draghi’s
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Develop CMOS-compatible broadband photodetectors for compact spectropolarimetric cameras. You will design, fabricate and characterise detector structures for space-based Earth observation. Job
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, including the Polydiv2 and PI3 networks. About the role We are looking for a highly motivated PhD student to study the impact of genome duplication on volvocine algae, with a particular focus on
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. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience with original data construction and applied causal inference on high-impact questions in
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discipline that directly impacts important technological and societal topics such as thermoelectric energy harvesting and next-generation gas sensors. The project has access to state-of-the-art supercomputing
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structured and goal-oriented manner. Strong teamwork and communication skills, with enthusiasm for collaborating in interdisciplinary and international research environments. Excellent written and spoken
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organised into bulk structures. Ice, for example, is a regular lattice of water molecules. Self-assembling, hierarchical systems are different. Here molecules combine to form complexes, the complexes form
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. We are seeking a candidate motivated to explore the how emerging technologies – such as machine learning, generative AI, and extended reality (XR) – impact societal preparedness planning required
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affect the structure of the proteins encoded by them. For this a classifier will be build rooted in techniques from the field of AI. Note this is a purely dry lab position, there will not be any wet lab