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numerical methods for the inverse design of nanophotonic structures enabling broadband, multiparameter sensing in fiber-based systems. The project is a collaboration between AMOLF, TU Eindhoven, and
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. The result is a new class of living composite materials that are not only structurally resilient but also inherently sustainable, moving us toward a future where infrastructure is grown, not just built
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Circuits Project description: Neuronal synapses are remarkably heterogeneous and dynamic structures that vary widely in molecular composition, nanostructure, and signaling strength. This rich variety
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need to take the lead in shaping their direction and to add your own ideas and creativity to each project. You will also assist collaborators with data analysis and structuring results into a paper or
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, with a focus on crack initiation, propagation, and damage evolution. These structures are characterised by large wall thicknesses, irregular bond patterns, varying material quality, and exposure
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require new metrics, fast algorithms, and careful tailoring of commonly used network measures and algorithms. The aim is to advance our understanding of how social network structures change over time due
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performance and/or neural structure/function that govern the rate of cognitive development in childhood and/or old age. The post holder will have an interest in theory-based developmental cognitive (neuro
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structures and activities. The postdoc will lead the compilation, annotation, and integration of microbial volatile data, linking metabolomic profiles to microbial genomes, traits and ecological functions
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are looking for a highly motivated scientist with: A PhD in Biochemistry, Structural Biology, or a related field Strong background in protein expression and purification, ideally membrane proteins Affinity
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consortium, translating complex CFD results into actionable insights for structural and control engineers. Where to apply Website https://www.academictransfer.com/en/jobs/359872/postdoctoral-researcher-high-fi