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of theory and methods. It should also include a progress plan for the different parts of the project. The research proposal must also include a short description of how the applicant envisions a fit with the
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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learning models for segmenting and interpreting forest point clouds and rebuild them as real-time, incremental estimation systems. The work supports navigation, self-localization, and traversability work
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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approach that includes stakeholder engagement, behavioural science, design research, transition studies, and modelling, the project aims to develop empirically grounded interventions and governance
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engagement, behavioural science, design research, transition studies, and modelling, the project aims to develop empirically grounded interventions and governance strategies that enable lasting behavioural
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mechanisms and model development to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy biology
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renovation. Impact: Enable robust decisions for sustainable buildings. Job description Delft University of Technology is hiring a PhD researcher on “Uncertainty-based Life-Cycle Modelling for Building
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reactive power coordination, and stabilize grid operations by enhancing collaboration between grid controllers at different system layers. Fair price incentives and market participation for reactive power
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of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR network, we aim to compensate for the effects