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Helmons (dredging, marine minerals) and dr. Austin Kana (design methodology, complex systems), where you will work on the development of an assessment framework to identify Best Available Technology (BAT
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publications) and/or research reports for policy or practice. A proactive and resourceful mindset, with the ability to work independently as well as collaboratively in complex projects. Fluency in English
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questions in the areas of self-supervised/label-efficient learning and explainability of deep neural networks (XAI) are being developed, particularly for use in biomedical applications. Further information
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models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing
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in real time. The candidate will contribute to modeling interactions between physical and digital infrastructures to enhance energy management, transportation networks, and urban sustainability. Key
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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addressing complex challenges. Responsibilities will include writing reports, authoring publications, drafting patents, and presenting results at conferences. The ideal candidate will possess demonstrated
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program) and a symbolic solver computing the solution. Another example is the generation of surrogate model architectures for complex industrial systems: the generative component proposes models based
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the molecular mechanisms that drive cell-cell communication in aggressive childhood cancers, with a specific focus on the role of the UNC5 interaction network in the pathogenesis of neuroblastoma (NB) and other
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, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong