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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
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learning domains. About you You will have a PhD in an experimental discipline (or equivalent qualifications and experience), ideally with experience in fibre optics and low-noise lasers and optical
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change and its relevance for present-day sustainability strategies. Alongside your research contribution, you will co-teach modules in Archaeology and Cultural Heritage. About you You have a PhD in
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the fibre laser and deep learning domains. About you You will have a PhD in an experimental discipline or equivalent experience, ideally with experience in fibre optics and low-noise lasers and optical
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present your work at international conferences About you A PhD* or equivalent qualification/experience in Computer Science, NLP, AI, or a related field. Strong experience in natural language processing
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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-quality academic publications, policy-relevant outputs, and stakeholder engagement activities. About you You will hold a completed PhD in ecology, conservation biology, environmental science, environmental
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to conferences during the project duration. It is desirable that the person has experience in designing and testing ion thruster technology, or a demonstrated aptitude for learning new fields of research
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aptitude for learning new fields of research. The person should have a PhD, or equivalent qualifications and experience, in aerospace engineering, experimental beam physics, or other ion beam uses. It is