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engineering for mobility platforms • AI/ML for transportation prediction, system optimization, and environmental/health impact modeling • Deployment of decision-support tools for public-sector clients
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for transportation prediction, system optimization, and environmental/health impact modeling Deployment of decision-support tools for public-sector clients (municipalities, MPOs, DOTs) Urban mobility, equity
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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research fellowship, available to psychologists and other social scientists within the behavioral health fields, interested in developing their professional trajectory within the research and clinical areas
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statistics for data Science and AI Optimization, algorithms, and computational mathematics Information theory and learning theory Other foundational areas at the interface of mathematics and data science https
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PhD” trajectories. The group collaborates extensively within the nutrition cluster and across all Science Groups within WUR, and maintains strong international partnerships. More information can be
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: ● Design, implement, and optimize computational and machine learning pipelines for multimodal biological and clinical datasets. ● Conduct rigorous statistical and computational analyses to investigate
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with researchers at Chalmers and the University of Gothenburg. You will explore how Bayesian methods can enable risk-aware, real-time trajectory planning and contribute to the development of autonomous
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career trajectories. The goal is to design better incentives for scientists to produce their best work. Our research group studies how groups of agents can learn to cooperate. Most of our research focuses
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. For complex conditions such as multiple sclerosis and autism spectrum disorder, progress has been slowed by animal models that optimize for single causes or treatments, without reflecting the diversity and