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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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activities on fibre-coupled quantum photonic chips in semiconductor silicon carbide, which leads to high-efficiency operation. This will allow you to implement new laser pulse excitation schemes, such as SUPER
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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perinatal life (TRR359) involvement in teaching across different life science study programs at the faculty of Medicine Perspective: Junior Group Leaders Your profile at the IPC: analyses of high throughput
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environments with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food production and veterinary
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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dysfunction Data collection, analysis, and interpretation using cutting-edge imaging and computational tools Presenting research findings at conferences, lab meetings, and through publications in high-impact
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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, including the development and use of 3D models and the study of extracellular vesicles Analyze high-throughput data sets using R or similar software Present research findings in meetings Document performed