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additional information about the position above, please contact Associate Professor Jan Żylicz, Jan.Zylicz@sund.ku.dk Qualifications A Master´s or Bachelor’s degree or equivalent in a biological sciences
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the main task of the two positions is administrating and maintaining our storage system and our private cloud solution, we are also setting up environments for students to experiment with open-source
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rewarding opportunity to contribute to our dynamic projects. Qualifications: PhD or master degree (or equivalent) in Chemistry, Materials Science, Polymer Chemistry or related field. Strong background in
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, governance, and operational support for the Actions, while the Actions themselves constitute the primary arena for concrete interaction and knowledge exchange. To support this work, Science Bridge employs a
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on the application material, and the application must include: Motivated application. Curriculum Vitae. Master’s and PhD degree certificates or equivalent (original and an official English translation). Complete list
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who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral
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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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innovation, with a strong focus on digital health. We are dedicated to addressing four grand challenges that shape our vision for a healthier and more sustainable future. We educate bachelors and Masters
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into genebank operations Experience with appropriate statistical analysis, especially generalized linear modelling Who we are At the Department of Agroecology, our main goal is to contribute to sustainable
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Assistant professor in Analysis and Modelling of Nitrogen Cycling, Losses and Emissions in Croppi...
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