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for nature. These projects aim to develop integral approaches and reward schemes that support the transition to nature-inclusive (dairy) farming systems in the EU and in the Netherlands. Your research
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collaboration to design, document, and further develop methodological insights around data interaction for cross-institutional, hybrid care, with a direct, real-world impact on the heart failure care pathway
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education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers
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efficient bioprocesses for high quality products. We study and develop photoautotrophic and heterotrophic production systems for biobased products, as well as high-quality processes for the production
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, developing research proposals, and contributing to education. You are encouraged to describe relevant experience with these tasks in your CV and motivation letter. You will work here This postdoc will be
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Munich, you will develop new methods in high-dimensional covariance estimation. Your job The position is part of an NWO-DFG funded research project on high-dimensional covariance estimation. You will work
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Job description We seek a highly motivated postdoctoral researcher to develop and apply integrated workflows for in situ cryogenic electron tomography (cryo-ET). The project will focus on automating
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, this position gives you the opportunity to participate in international research networks. Together, these elements will enable you to develop your own research ideas within the AMPLIFY framework and contribute
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. Marieke de Goede. The project is funded by the European Research Council (ERC) through an Advanced Grant. For more information, see https://cordis.europa.eu/project/id/101199713. Join Us! We are looking
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activities, all generally but not exclusively related to your research topic. You are encouraged to visit the ESA website at https://www.esa.int/ Field(s) of activity/research for the traineeship The objective