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structures; - experience in organizational work; - ability to work independently while solving conceptual tasks and high innovation capacity; - good knowledge of German - excellent knowledge of English
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well as sustainability. Its study model with Leuphana College, the Leuphana Graduate School and the Leuphana Professional School has won numerous awards. For the Institute of Management, Accounting & Finance (IMAF
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scientists in an interdisciplinary and international environment supported by state-of-the-art infrastructure. Together, we aim to advance science and contribute to a healthier, cleaner, and fairer society
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document fossil turtle specimens Process and analyze digital CT datasets of cranial and neurological structures Carry out geometric morphometric analyses to study shape variation Conduct eco-morphological
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investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be
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of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
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of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
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interface that provides operational insights. As the project progresses, you will continuously enhance the ML models to adapt to more sophisticated data, ensuring the tools remain at the cutting edge
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Implementation, further development and adaptation of AI models and research prototypes for the annotation and scoring of text data, in particular for the optimization of AI-supported teaching and learning in
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant