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Research (TNO) and four universities of applied sciences. The complexity and scale of the climate crisis is overwhelming. Artistic practice and artistic research can open up new ways of understanding
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experiments, real-world contexts offer richer insights into the subtle, complex ways people ignore, exclude, or distance themselves from others. By examining ostracism as it naturally occurs – in workplaces
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on monitoring complex, superposed deformation signals caused by deep subsurface processes (gas storage, production, and injection) and shallow processes (soil compaction, groundwater dynamics), using satellite
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, independent, and excited to tackle complex, interdisciplinary research questions. Job requirements Master's degree in computational biology, machine learning, bioinformatics, AI, or a related field Strong
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to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research
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group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? Maybe you want to join our team as a PhD on our journey
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typically rely on general-purpose CPUs or GPUs, which are optimized for flexibility rather than predictable real-time performance. These platforms struggle with the complexity and resource demands
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PhD candidate to (1) explore to what extent such high fidelity supports or hinders (groups of) people in grasping cause–effect relationships of world adaptations and system complexity; and (2) design
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Application deadline: 31 January 2026 Apply now Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata
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theoretical physics. Particularly important are invariants counting vector bundles (or sheaves) — central objects in modern geometry and physics. However, the theory is mostly developed over the complex numbers