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project meetings Managing big biodiversity datasets, including quality assurance/quality control and methods for automation Analyzing spatial and temporal biodiversity data, and accompanied environmental
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. Opportunity to work on your own ideas and collaborative projects. E.g., possible open projects in our group include AI for tumor bud detection, or multimodal AI for improved patient care and others. Opportunity
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the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g. with a focus on research data management, knowledge
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fluids, design novel numerical simulation and optimal control schemes, and provide new means for risk management. This project mainly focuses on the analysis and optimal control of the underlying SPDE and
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also undesirable outcomes such as stereotyping and other biases. These biases are reduced when people experience cognitive conflicts. In a DFG-funded project, we aim to test whether cognitive conflicts
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, Organization Science, Research Policy, Strategic Management Journal, and Social Studies of Science. We offer… • the opportunity to work on international research projects (e.g., entrepreneurial teams) at one
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team with whom you can design the next-level EV? Become part of our Electric Vehicle Lab at the Institute of Automotive Technology and actively shape the future of mobility! About us The Electric Vehicle
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on the Bildungscampus Heilbronn (Heilbronn Education Campus). TUM Campus Heilbronn focuses on the areas of managing digital transformation, family businesses, and computer science. Requirements - Master’s degree in
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data