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growth by metalorganic vapor phase epitaxy and developing AI approaches for deterministic synthesis to achieve n- and p-type conductive AlN and related UWBG Al containing alloys. Doping and processing
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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To qualify as a postdoctoral scholarship holder, the postdoctoral fellow is required to have completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. This qualification
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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. The position aims to investigate the fundamental physical and chemical processes underlying the thermal-chemical conversion of green fuels, using advanced high-performance computational methods. The research
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dynamic processes in atoms and molecules using electron spectrometers. The positions imply the development of ultra-short pulse technology at high repetition rate in new wavelength ranges, with the help
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management. Our research is problem-oriented and empirical, with strong emphasis on industry and societal relevance. Sustainability needs , digitalization, information technology developments and automation
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of the activities is the forest as a resource with its climate benefits throughout the life cycle. Research is ongoing in many disciplines such as forest management, forest economics, forest ecology, digitalization
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carcinoma xenografts in immunocompromised mice. They will treat mice with appropriate chemotherapy regimens and image them using different imaging platforms. Primary human organoids will be established and