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(LiB’s). You will be responsible for: • Developing models and simulations of the electrode fabrication process, sensors, and actuators. • Developing a demonstrator of a soft sensing system that
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. shifts to plant-rich diets, reductions in food waste) alter the food system for different actors (e.g. monetary flows for producers, processors), exploring how food system transformations and climate
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We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new
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SHP2 phosphatases, these receptors exhibit strikingly different signalling capacities in disease settings. While these receptors are well known for their roles in cancer and infection, their involvement
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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characteristics directly. The main responsibilities of the post holder are to develop and edit molecular simulations of different biologically relevant membrane chemistries, for example membranes with different
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executing research programmes related to different aspects of thymus biology employing informative experimental models and a broad range of analytical platforms, including single cell transcriptomic analysis
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participating in the training and management of PhD students. Solid-state spin photon interfaces are central to emerging quantum technologies, such as optical quantum networks and quantum sensors. Point defects
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possess excellent record-keeping skills. You will be willing to help in many different aspects of laboratory work and management, including supervision of students and review of their written reports