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We are looking for a talented and enthusiastic candidate for a fully funded 4-year PhD position. The PhD candidate for this project will be working at the RNA Structural Ensemble Dynamics group led
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Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and
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, investor, construction manager or area developer. Transitions should therefore not be governed in isolation but collectively. Stakeholders, however, often hold their own individual values and interests
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relation to local environmental cues such as light intensity, wind conditions, and visual structure. A key focus will be on how Dipteran insects perceive and use these cues—especially visual landmarks and
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to deal with making implementation decisions in their daily activities as asset manager, investor, construction manager or area developer. Transitions should therefore not be governed in isolation but
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for manufacturing large structures such as fuselage and wing panels. Reliable process control is critical: underheating leads to poor bonding, while overheating causes polymer degradation. At the heart of process
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materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving efficiency
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societal challenges, local decisionmakers, such as municipalities and project developers, need to deal with making implementation decisions in their daily activities as asset manager, investor, construction
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soft materials, which often limit their precision, speed, and load-bearing capacity—all critical for real-world deployment. Addressing these limitations requires a new class of structures that combine
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mathematical modelling? Then you could be the ideal PhD candidate for this position. Self-assembled structures of colloidal particles and/or polymers at a liquid-air interface can be spontaneously generated when