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Field
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methodologies; You will characterise the materials using spectroscopic and surface characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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to provide the highest level of care for all children with cancer, with optimal quality of life. The center brings together the best possible care and scientific research, creating a unique interdisciplinary
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, and optimize sensor/microsensor responses. This interdisciplinary approach is essential to understand the changes of thermal/radiative properties by correlating them with the evolution of chemical and
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, develop innovative therapeutic strategies, and optimize drug delivery to improve human health. Our teams combine expertise in nanomedicine, RNA biology, organoid models, and the tissue microenvironment
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the use of crystallographic software and data processing pipelines Experience working with computation clusters and managing large datasets Proven ability to develop, maintain, and optimize scientific
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studies within the hydrogen research hub (HI-ACT) funded by EPSRC. The project seeks to deliver industry-relevant tools that enable optimal design and operation of hydrogen technologies in real-world
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to the setup and optimization of novel xenotransplantation models. Collaborate across VIB (GIBA and MIND labs, amongst others) and international partners to integrate immunology, stem cell technology, and
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 26 days ago
conditions is essential for designing more efficient TPS solutions (i.e., selecting optimal material systems, reducing design margins). Instrumentation, such as in-depth thermocouples and heat flux gauges, is