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Field
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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signaling pathways that promote lung injury resolution. The studies will include using cell culture and organoid models to provide mechanistic insight of murine models of lung injury. We seek candidates with
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opportunity to collaborate with leading experts in research on foetuses/neonates/infants led by Prof Grainne McAlonan, Professor David Edwards, and Dr Dafnis Batalle; research on sensory processing by Dr Nick
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group runs preclinical and clinical programmes of work focused on pain mechanisms and therapeutic approaches to treat pain. The Sensory Neurophysiology team have expertise in animal and human pain studies
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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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in translational neurotechnology, medical device development, and conducting clinical or preclinical proof-of-concept studies Preferred: ï‚· Experience in physiological signal processing and the
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
-dimensional wind vectors. These key meteorological measurements enable our understanding of atmospheric dynamics, chemistry and microphysical processes. MMS measurements are critical for investigating a variety
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indicate so. Copies of the manuscripts marked with an *. Only publications written in English will be taken into consideration. Recruitment procedure The Recruitment Committee will shortlist a minimum of two
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the kinetics of enzymatic polymerization processes in biological environments. Expand and tailor enzyme repertoires to optimize functionality and electrode performance. Collaborate within a multidisciplinary and
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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