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One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Apply Vacant position One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Aalborg Deadline
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workshop. Assistance with laboratory testing, sensor integration and synchronization, data acquisition, technical documentation, and handling of experimental research data. Support for sensor-based
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research and teaching activities, in collaboration with our prototype workshop. Assistance with laboratory testing, sensor integration and synchronization, data acquisition, technical documentation
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includes working with local stakeholders High level of self-motivation. Who we are The Sensor Laboratory at the Department of Biology is internationally recognized for the development and application of
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mechanical equipment to digital systems, as well as assuring continuous data retrieval have experience with a wide range of sensor technologies and how to develop and program environmental sensor networks
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and biological sciences. This includes the integration of various types of field-based and sensor-based data (soil, acoustic, images, and species data), as well as historical maps and satellite- and
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imaging (MSI) is increasingly used to investigate how environmental stressors and micropollutants affect biological systems across space and time. However, data processing, image segmentation, multimodal
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wide range of sensor technologies and how to develop and program environmental sensor networks have good English and Danish skills (The language of research at the Center is English, while Danish will
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and resource-constrained applications, including battery-operated, energy-harvesting, mobile, autonomous, embedded, and sensor-based systems. The section is a vital component of our Bachelor of
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scientific equipment. You will set up and curate data bases and develop and use software to perform discrete time series analyses of large acoustic and sensor datasets. You will help supporting and