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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
of these worlds. We are interested in how planetary-scale processes such as differentiation, thermal evolution and tidal dissipation affect water, rock and organic chemistry over time, as well as nutrient and
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the communications requirements jointly with the decision fusion process. This approach will produce novel system, network, and signal designs. Consequently, the project's main objective is to jointly consider
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inflammatory diseases and exploring immunotherapy to treat them. This exciting project involves characterising samples from a recently completed Phase II clinical trial for amyotrophic lateral sclerosis (ALS
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include: the role of the Target Bodies in revealing the origin and evolution of the inner Solar System; investigations as windows into planetary differentiation processes; near-Earth asteroid
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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 molecular mechanisms underlying genome-interacting processes using a highly multidisciplinary approach that combines advanced single-molecule fluorescence imaging with a range of biophysical, structural, and
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Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted
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level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with
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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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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation