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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); Published yesterday
- Erasmus MC (University Medical Center Rotterdam); Published yesterday
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- University of Amsterdam (UvA); Published 21 Nov ’25
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whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel PhD projects on modelling. The successful candidate
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, and outcome monitoring. In parallel, you will also: Explore the integration of outcome data into routine care, working closely with clinicians at Erasmus MC and national stakeholders. Decision
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of solving such systems are immense: slow or unstable convergence, lack of robustness, and scalability bottlenecks on modern parallel architectures. As a PhD researcher, you will be at the frontier of tackling
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parallel, it produces new, high-resolution computer models of the warm Last Interglacial period. Finally, PAST creates new knowledge by synthesising these two approaches through advanced statistics. This PhD
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through participatory design sessions with nurses, integrating the computational models (developed by another PhD candidate working in parallel on sound modelling) with user experience requirements, while
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on cell-state diversity within tumours. In parallel, you will collaborate closely with a postdoctoral researcher to develop and apply novel proximity-labelling strategies to chart dynamic protein–protein
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of Architecture and the Built Environment), where you will collaborate closely with a parallel PhD project within the Faculty of Aerospace Engineering focused on meshfree numerical methods. Together, you will work
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single-cell proteomics approaches on patient samples to gain additional resolution on cell-state diversity within tumours. In parallel, you will collaborate closely with a postdoctoral researcher to
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. Dr. Tiziano De Matteis (who will be co-supervisor), is an Assistant Professor in the group. His interests are on Parallel and Distributed Computing with a focus on systems and programming models
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techniques); giving mathematical proofs of their correctness and efficiency; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming