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. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and
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develop analytical methods that will enable the study of bioactive lipids in tissue using mass spectrometry imaging. A concrete goal will be to enhance the signal of bioactive lipids for detection and
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-interacting processes using a highly multidisciplinary approach that combines advanced single-molecule fluorescence imaging with a range of biophysical, structural, and biochemical techniques. For more
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, i.e. the processes that affect the clinical picture of the infection. In vitro systems that can mimic the physiological processes are therefore under development. An important next step is to clarify
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– BMC at our website . Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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, computerized image analysis and computing education research. In the Human-Machine Interaction (HMI) unit we study the interplay between people and machines (e.g., information technology, automation, robots and