68 master-"https:"-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at Aarhus University
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contributing specifically to the area of nitrogen flows, losses and emissions in agricultural systems, their quantification and modelling, as well as their relation to crop fertility and productivity. The main
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square metres of modern research facilities for experimental surgery and medicine, animal facilities and also advanced scanners at our disposal. The department has overall responsibility for the Master's
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(diploma for master's, PhD and possibly higher doctoral degree) List of publications (the enclosed publications must be clearly marked on the list of publications) Publications. Up to three publications can
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technologies Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and
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full pipeline of procedures is established and ample microscope time, generous resources, highly skilled support staff and thriving research communities are available to the project. Both primary
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/historical/cultural studies, intercultural studies and language pedagogy. The department offers three main types of degree programmes in French, German and Spanish: international business communication
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employee, your primary responsibilities will be to support researchers with image analysis, educate postgraduate students in this field, and develop an IT infrastructure for the storage and sharing
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of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. Your main tasks will consist of: Independent
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of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and the environment. We want to make a difference
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main tasks will consist of: Independent research of high international quality, including publication. Establishing and refining multi-modal workflows for integrating and analyzing spatial datasets with