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the first instance Hours: Full Time (37.5 hours per week) About the role We are seeking a highly motivated individual with expertise in structural biology and biochemistry to join the lab of Prof Dmitry
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-structured data. The ability to translate abstract mathematical concepts into intuitive frameworks and analogies, creating interpretable models and clearly explaining complex results to an interdisciplinary
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We are seeking a Postdoctoral Research Associate to join the Structural Science Group within the X-ray Science Division (XSD) at the Advanced Photon Source (APS), Argonne National Laboratory
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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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doctoral degree in Epidemiology, Biostatistics, or a closely related quantitative field Demonstrate strong computational and statistical training, including experience with complex data analysis Have
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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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, and protein structure prediction by artificial intelligence algorithms. The goal is to generate functional models of multimeric protein complexes and how they assemble as a guide to understand disease
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associated with biological membranes, including large peripheral membrane complexes and integral membrane transporters. In parallel with mechanistic structural work, we develop targeted chemical probes
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
at Aalborg University’s Copenhagen campus. You will join the Building Physics research group at BUILD located at Copenhagen campus, which conducts research on correct construction techniques for both new and
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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