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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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into an interdisciplinary research environment given by the university institutes and the cooperation partners in industry and science. The advanced Manufacturing Engineering paradigm for next generation factories is
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during production, consulting, and prototype manufacturing. You investigate how centrifugal forces affect the clamping forces during operation on our turning machines. You derive models from your data
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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the field of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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. Metallurgy has provided humankind with materials, tools and the associated progress for more than five millennia. It is not only a huge engineering success story but has also become the biggest single
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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this PhD project a miniaturised chip-scale diamond maser device is developed. The candidate will represent a synergetic link between natural and applied science, translating a laboratory scale experiment
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. The team develops simulations, theoretical models, image processing software and adaptive optics systems. More information about the Adaptive Optics Group at Fraunhofer IOSB can be found