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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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the next generation of molecular assays and point of care collection devices. We are seeking a scientist who is self-motivated, well organized, and experienced working with biological samples. The ideal
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 13 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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. 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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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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of olfactory sensory neurons and vomeronasal sensory neurons that express arrays of chemosensory receptors each activated by a specific chemical signal. Sensory neurons of the MOE and VNO are the only neurons in
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research in a highly multidisciplinary team environment. Successful applicants will have experience in surgery biomedical engineering, microfluidics, cell signaling and/or vascular biology. Our regenerative
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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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Radiation Transport techniques, and signal processing. Certificates/Credentials/Licenses Computer Skills Knowledge and experience of programming skills: (MATLAB, Python/C++) Monte Carlo simulations (ex