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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
sounding (e.g., MARSIS, SHARAD, or analogous terrestrial systems) Familiarity with radio frequency (RF) systems, radio wave propagation, and signal processing techniques Expertise in radio astronomy
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, computational neuroscience, or a related field. Experience with brain stimulation, neurophysiology, or neural signal processing. Familiarity with tools such as Python, R, or similar for data analysis. Interest in
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(MIGS) device ¿ the LIVTM - that biologically restores diseased trabecular meshwork function rather than simply bypassing it. Based on the main University of Liverpool campus, you will conduct laboratory
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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EEG and fNIRS recordings. The postdoctoral associate will develop and apply advanced signal processing and statistical techniques to quantify the relationships between neural and hemodynamic signals
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
the physical process understanding of hydrometeorological processes. This includes physical processes such as streamflow, evapotranspiration, and interactions with other earth systems such as the atmosphere
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analysis of cell signalling, this three-years postdoc position at DTU Bioengineering will fulfil your scientific and personal development in an international, multi-disciplinary, and curiosity-driven
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learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases. Working in a large team of 15 PhD students, several postdocs
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human trophectoderm development. The aim of this project is to test the functional requirement for signalling pathways in trophectoderm development. We have recently identified a number of candidate
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify