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, and modelling and mechatronic prototyping. The ideal candidate must be able to demonstrate their ambition to conduct high-quality research, present the results at international conferences, and publish
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for security and export control, open-source background checks may be conducted on qualified candidates for the position. Embedded Systems Engineering (ESE) is one of the 10 research sections at DTU Compute
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
information to improve genomic prediction models. The selected candidate will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, PhD students, and Postdocs
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background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted
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analytical methods. We focus on strong expertise in mathematical modelling, optimisation, machine learning, and data-driven decision-making. As associate professor you will be responsible for the teaching of
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and applying advanced analytical methods. We focus on strong expertise in mathematical modelling, optimisation, machine learning, and data-driven decision-making. As professor you will be responsible
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perspectives of the product development phases and modelling with design drivers, e.g. user needs, stakeholder management, production processes, interfaces and data management, sustainability, digital potential
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that we achieve world-class results together. Your research leadership is of utmost importance, and therefore you are an empathetic role model that foster and nurture inspiring environments, e.g. by
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equipped with new and state-of-the-art laboratories and analytical devices. SDU provides cloud services and virtual space needed for data repositories, modeling, and analysis. About the Department of Biology
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will lead efforts to apply state-of-the-art AI techniques (machine learning, deep learning, generative models, etc.) to the discovery and development of new materials in critical domains: water, energy