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clinical insights to the project and expertise in fetal monitoring. The candidate will work with signal processing engineers to label clinical data to enable AI models learn how to more accurately automate
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achieve recognition and impact in the research area. Designs PCBs and develops FPGA code as a core aspect of the design process. Develop image signal processing systems and sensor motion control
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cellular functions in normal cell and developmental processes and to determine how the disruption of normal signaling pathways lead to cancer and other diseases. We are a well-established laboratory with
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interactions between tumor epithelia cells and cells of the innate immune system (such as macrophages) which are linked through this signaling cascade. This position will participate in ongoing projects focused
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innovative team studying the plasticity of adult physiology and lifespan in the fruit fly to work on a project focused on nutrition, nutrient signalling and physiological programming. About the role As
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The successful candidate will develop signal and image processing techniques, as well as apply machine learning
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Australian National University | Canberra, Australian Capital Territory | Australia | about 12 hours ago
, and uncertainty assessment with Bayesian techniques. Familiarity in using R and Python for data processing and modelling is an advantage. Please see the Position Description document for a full list of
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environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All
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the Research Excellence Framework (2021) the School of Chemical Engineering received a ranking in the top 10 of the sector by grade point average and 4-star research. We have a research income in excess of £10
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coastal wetlands; learn to use and maintain scientific instrumentation, including operation of surveying equipment and data loggers. This project seeks to analyze the effectiveness of marsh restoration