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to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality
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spectral sensor data. By using absorbance data, you will train models to predict key water quality indicators such as nitrate, nitrite, and dissolved organic carbon in both freshwater and marine environments
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systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor
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teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department
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radar aeroecology, analysing weather radar data to answer biological questions. The work will involve processing and analysing large amounts of data, writing publications, and actively seeking external
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of cardiovascular diseases. You will work independently to develop mechanistic models that describe dynamic processes of the microcirculation and analyze large data sets using statistics and deep learning
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, MMTC aims to be a meeting place and service provider to academia, practitioners and the wider society. Working tasks As a PhD student you join a vibrant research environment. For more information about
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with significant contributions to the field both with respect to experimental design and high-performance computing protocols for data analysis, visualization, and interpretation. We also use and develop