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the doctoral student. Our work focuses on shaping and transforming space while addressing the complexity of current challenges such as climate change, resource depletion, and socio-economic injustice. We
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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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for reactive synthesis. This allows us to describe dynamic behaviors in complex environments over time. You will work with formal tools such as: Planning domains and temporal logic — to describe the required
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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your future research Manufacturing jobs are becoming increasingly complex due to rapid technology development. At the same time workforces are aging. Skill gaps are widening and becoming critical
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by
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background in modeling and simulation of complex systems. Proficiency in digitalization tools, simulation environments, and academic writing. Fluent in English. Meritorious: Background in Computer