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functions and linear multiply–accumulate operations directly in hardware. 3. To quantitatively characterise magnonic device performance within neuromorphic computing architectures, evaluating metrics such as
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topics including (for example) precision stress management, scalable evidence-based interventions for reducing stress and enhancing resilience, multi-level/multi-method studies on the psychobiology
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suboptimal thermal performance and energy inefficiencies. This programme focuses on the development of multiscale models that will improve our understanding of how microstructural changes in materials and
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murine samples for light-sheet fluorescence microscopy Performing confocal microscopy and intra-vital two-Photon microscopy Sample preparation for histological approaches Data processing and evaluation
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cells. Such fluid measurements also find application in environmental monitoring and e.g. medical infusion systems in neonatal care. In essence, good in-line measurement systems provide immediate process
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understanding of these mechanisms has the potential to improve our understanding of disease progression while enabling more personalized management. The PhD project aims to advance our understanding
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, medicine and semiconductor products such as microchips and solar cells. Such fluid measurements also find application in environmental monitoring and e.g. medical infusion systems in neonatal care. In
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 2 months ago
of the Linux command line • Familiarity with Linux-based computing environments; experience with high-performance computing (HPC) is an advantage • Experience with workflow management systems such as Snakemake
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the affected people resist violence with everyday practices of mutual care and repair?” and “In what creative ways do they shape alternative futures for themselves and their more-than-human environment?” Your
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of