116 master-"https:"-"https:"-"https:"-"https:"-"Technische-Universität-Dresden" Postdoctoral positions in Denmark
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be contributing to specifically the area of phosphorus dynamics in agroecosystems, with an emphasis on the impacts of phosphorus management on crop performance and environmental losses. The main focus
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, is expected for all topics. The candidate has obtained excellent grades in his/her Bachelor and Master educations, demonstrated outstanding problem-solving skills, and good communication skills in both
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(master's degree diploma and PhD diploma) List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of five
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the main focus of your position will be to measure cropping system effects on nitrous oxide emission and carbon storage, and on soil properties influencing climate resilience and other key ecosystem
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to data from various sensors and radio signals? This is the main underlying theme to be explored within this postdoctoral position. The appointed researcher will investigate how AI embedded in physical
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with colleagues on your project, where you will receive supervision and guidance. The candidate's main responsibility will be the bioinformatic analysis of omics data. You will do so in a project focused
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across Europe. Your primary tasks will be to: Design and implement manipulation strategies for mobile robotic platforms operating in unstructured mining environments Develop control methods for physical
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qualifications The main responsibilities are either 1) to design and execute synthetic routes to glycoconjugates or 2) to plan and execute in vitro and in vivo studies of vaccines. You will join a research lab
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primary tasks will be to: Take active part and supervise research within the fields microbial physiology, microbial ecology and quorum sensing in the frame of bioprocess development. Deliver scientific
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the specific work package. Depending on scientific profile and interest, the position may also involve primary data collection, including contribution to the design, implementation, and management of prospective