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that control structure and function at a molecular level in all types of bioactive molecules. We are looking for experts in synthetic organic chemistry who are interested in new challenges and exploiting
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, or single-photon detectors (used for single-photon Lidar), that natively produce event-like data that is compatible with spiking networks. Similarly, detection events from RF (radar and electronic
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the Euclid satellite, we investigate fundamental questions about the nature of celestial objects, the evolution of galaxies, and the structure of the Universe itself. We are also actively involved in
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of the project. Applicants should hold, or be close to completion of, PhD in Biology or a related subject. You should have a high level of competence in biochemistry and structural biology as well as relevant
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of London. For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk To find out more about Dr Kaili Rimfeld, please visit the https
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provide the objectives, logic and structure of the research work of the Fellow during the following three years. The research plan could consist of extensions to the PhD research already undertaken by
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(MOCVD). The primary aim is to develop energy-efficient 2D materials that can significantly reduce the power consumption of next-generation electronic devices, supporting the UK’s net zero goals and the
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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measurements and methods for the characterization of the materials structures, compositions, and functionalities. The position is advertised for 3 years. Your future tasks: You actively participate in research
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing