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systematic evidence on where it adds value and where its risks lie, is lacking. In this PhD project you will map current and future GenAI use across the full HTA lifecycle, from horizon scanning
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PhD: Mixing in turbidity currents in experiments and submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 2
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will be combined with theoretical modelling, statistical data analysis, and numerical simulations to identify the governing mechanisms and to determine whether and how proximity to a phase transition
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day one, indepenent thinking is encouraged, and you will get all the support you need to further develop your scientific career. PhD Position 1 - Hybrid Traffic Flow Modelling This PhD focuses
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accompanied by relevant evidence, uncertainty estimates, and transparent explanations aligned with current clinical guidelines? Preferred starting date: 1 November 2026 Where to apply Website https
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17 Jul 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Modelling tools Computer science » Programming Researcher Profile First Stage Researcher (R1
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Position 1 - Hybrid Traffic Flow Modelling This PhD focuses on developing hybrid traffic flow models that combine physical modelling principles with machine learning approaches, such as Physics-Informed
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, matrix composition, and (anisotropic) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights
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include: designing and conducting proteomics experiments within the META-IMMUNOTYPES project; analysing plasma proteomics together with immune monitoring, metabolomics and flow cytometry datasets
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. This framework offers a new perspective on time-dependent density-functional theory and its current-density extension, with the potential to enable improved functionals capable of capturing nonlocal correlation