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of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes and drug–excipient
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aberrations that underpin these diseases. This includes rearrangements in highly complex and repetitive regions of the genome, such as those seen in DUX4-rearranged leukaemia. Other cancers (such as paediatric
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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
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narratives from CLDs, making complex systems insights accessible to policymakers and public audiences. Using a mixed-methods, socio-technical design, 4–6 comparative workshops (traditional vs AI-integrated
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The Faculty of Sciences and Bioengineering Sciences, Department Computer Science, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a
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to test theoretical hypotheses and identify new regularities; contribute to an interdisciplinary research environment at the interface of physics, epidemiology, and complex systems. This position offers
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you often find yourself fascinated by the multiscale complexity of real-world engineering problems? In this project you will develop advanced multiphase transport models for porous systems, bridging
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20 Mar 2026 Job Information Organisation/Company LEM3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun 2026 - 00:00
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theoretical and computational methods to describe electronic, optical, and transport properties of complex materials. The first advertised project (a) is dedicated to the methodological enhancement
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emissions from diffuse and complex sources—such as energy infrastructure, landfills, and urban environments—remains a major scientific and regulatory challenge. This is particularly important in