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and qualified Research Fellow to join our research team on the project titled “Development of 3D Vegetation Quality and Intensity Indices”. This project specifically looks at the processing and
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and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, mathematics signal processing or physics, and a PhD in
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and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, mathematics signal processing or physics, and a PhD in
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fulfilled all requirements of securing a PhD from a reputable university at the time they take up their appointment at ARI. If you are still a PhD candidate at the point of application, you may also apply
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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, or another prestigious grant Scan of PhD diploma in chemistry, physics, biotechnology or related fields A consent to the processing of the candidate's personal data for the purpose of the competition
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The successful applicant will have (or be near to completion of) a PhD in Computer Science with expertise indeep neural networks, preferably with expertise in any of the following subfields: signal processing and
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candidate will choose to work under the mentorship of one of 11 preceptors. Areas of research include: Mechanistic studies of signaling pathways that regulate cancer cell survival and tumor growth in renal
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of new data to inform the development and testing of a new contemporary model of work. Skills and Experience To be considered for this position, you will have: Completion of a PhD in a relevant discipline