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Field
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. Research Environment The project is in collaboration with two partners: (i) IDCOM at the University of Edinburgh, which develops theory, algorithms and hardware for the next generation of signal processing
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We are recruiting a lead post-doctoral researcher with a background in nutrition for an ESRC funded project on ultra-processed food, nutrition and eating behaviour. The researcher will join the
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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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novel proteins/antibodies and explore their biomedical applications. Our goal is to utilize these engineered proteins to precisely regulate intracellular signaling pathways, eventually translating
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in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer Vision and speech
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The overall goal of our research is to describe a class of organic materials able to transport ionic and electronic charge which provide an ideal interface between human-built devices (where signals
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Rico. Candidates should have strong experience in stereotaxic surgeries and Electrophysiology recordings in vivo in rodents, as well as experience in the analysis of Electrophysiological signals. This is
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recordings in vivo in rodents, as well as experience in the analysis of Electrophysiological signals. This is a full-time position and you will be offered a fixed term contract until the 1st September 2027
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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the volcanoes of the Eastern Caribbean as a focal point and, with our international partners, will demonstrate how this knowledge can improve monitoring and warning systems in the Eastern Caribbean. The