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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
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. The goal of this project is to advance gene regulatory network (GRN) inference from multi-omics data by developing novel AI techniques that exploit the knowledge of gene perturbations (experimental design
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research on regional development and “green” industrial investments. The aim of the project is to investigate how strategic planning can promote development during periods of rapid change. The position will
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The Department of Natural Sciences, Design and Sustainable Development provides education and research within our subjects, with a focus on sustainable development. Ecotechnology and Environmental
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backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline
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for software development and its education. The group is multidisciplinary, including social and computer scientists. We are working with leading industrial partners, such as those within the automotive and
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Doctoral student in Historical Osteology within the ERC-Synergy grant project "FORAGER" (PA2026/771)
to the development of entirely new food systems, which in turn triggered population booms across mid-latitude environments worldwide. These momentous changes are often reduced to simple linear narratives that trace a
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, development, and protection. It seeks to understand stakeholders, networks and relationships focusing on challenges and opportunities for competitiveness, commercialization/commoditization, marketing
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. The goal of this project is to advance gene regulatory network (GRN) inference from multi-omics data by developing novel AI techniques that exploit the knowledge of gene perturbations (experimental design
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analysis. You will be encouraged to develop independent research questions within the broader project framework. This project offers an excellent opportunity for a motivated doctoral student to contribute