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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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challenges and real-world impact. Project overview In recent years, generative neural network models for creation of photo-realistic images have become increasingly popular. Their training results in a low
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of managing reverse logistics for returned products, and the potential disruptions to existing distribution networks. About us and the research project The division of Supply & Operations Management (SOM
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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examined. You will be expected to participate actively in the department’s knowledge environment and networks, both internally and externally. The work is carried out in projects, and you will collaborate
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data. For this, the applicant will generate in silico datasets from diverse computational models of development, such as models of tooth development and gene regulatory networks. They will leverage
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to both MAXIV and ESS. Dimitrios Floudas is a fungal expert and the leader of the Environment and Climate Theme (ECL), which is funded by LINXS and offers ample opportunities to network with other
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network of national and international collaborators. Project overview The aim of this two-year project is to validate and further develop advanced numerical models (originally developed at Chalmers
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tomography and mechanical testing. Experience with multidisciplinary environments and collaborative research projects. International networks and experience. Consideration will also be given to how
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering