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we’re growing along with it. At the Universiteit Maastricht (UM), your work makes a difference—whether you explore complex biological systems, contribute to cutting-edge research, or help shape
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this specific structured data. How can we perform inference tasks to learn hidden patterns, like community structure or hidden hierarchies? How can we incorporate domain knowledge to design interpretable models
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into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic
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international conferences; assisting with activities to disseminate the project's findings both within and outside the academic world; publishing peer-reviewed articles and book chapters. Your qualities You are a
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Are you eager to contribute to research on the colonial traumatic past within a transdisciplinary team? In the Traumascapes project, you will explore how embodied methods such as dance help identify and
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be responsible for acquiring and leading immunology-focused projects within veterinary and zoonotic disease research. Concrete, you will: actively pursue funding opportunities (e.g. PPP, Horizon
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telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
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23 Mar 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Design engineering Engineering » Systems engineering Environmental science
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team as PhD candidate on the DECIDE project, an ambitious inter- and transdisciplinary initiative to design AI systems for decision support, that contribute to the empowerment and democratic
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metabolism and metabolic health Our goal: The aim of this project is to determine the effect of a novel, unimolecular GLP-1 and amylin receptor agonist on energy metabolism and cardiometabolic health compared