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degraded ecosystems across different habitat types. This is important for establishing the extent to which ecoacoustic methods and metrics are transferrable between places. There is scope within this project
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of learnt features across the layers of various neural network architectures. -- Investigate the role of different types of layers (e.g., residual blocks, transformers) in shaping the learnt features and
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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of Information Technology (FIT). The precise details of the PhD project are open to negotiation, but it should be designed with the aim of making a positive difference to the life experience of people with disabilities
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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the Mass Spectrometry Center. COMMITMENT TO DIVERSITY We believe every person brings with them unique strengths, experiences, and perspectives and we value these differences. One of our best opportunities
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perform their structure determination leveraging the advanced capabilities of different mass spectrometry techniques, NMR spectroscopy and database searches along with other analytical methods. • You
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data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and