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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and dysfunction. The research group has recently received major and prestigious grants
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picture of reaction intermediates in photocatalysis. You will be involved in all steps of the project, i.e. to design and program the software, to perform computational and real-world experiments
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general. Computer vision can also be included if there is interest. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary
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challenges such as large temperature swings during bunkering and operation. These fluctuations, combined with hydrogen embrittlement, place significant stress on tanks and piping, affecting durability and
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scenarios. Duties Your work will focus on modeling and optimizing hydrogen compression, storage, and fueling processes at the system level. This includes, among other tasks: Thermodynamic simulations of CGH
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and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive modelling. Furthermore, serve as the metabolomics subject
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to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
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. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data