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and application, where research results are translated to real-life technology? The Technical University of Denmark invites applicants for a 2-year postdoc position on developing sensor prototypes
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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projects. Expert supervisors and mentors from DTU and Novo Nordisk. Opportunities to participate in conferences, symposia, and networking events to share and enhance your research. Your role will be pivotal
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studies limited to crystalline POMs and remove existing confines imposed on the rational design of tailor-made non-crystalline POMs to meet unmet needs in fields such as energy storage, sensors, catalysis
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on the use of animal- and resource-based indicators of animal welfare – obtained by for example sensors, clinical examination, ethological methodology and assessment of microclimatic conditions. The position