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leaves and roots is an important factor in overall plant health. However, the connections between plant disease and plant-associated microbial communities are not well known. Prevalent plant pathology
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factor in the design of the project. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. A person who is employed as a PhD student
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simulations, computational modelling, and/or data-driven analysis to assess the impact of different climate policy pathways. Developing interactive AI-based narratives that communicate climate risks in ways
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ten members with expertise in advanced flow cytometry, single-cell analysis, bioinformatics, antibody technology, and experimental systems both in vitro and in vivo. The group has recently received a
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’ ability to benefit from the education. At admission, the applicants’ merits from prior education are the main basis for assessment. Breadth, depth, and relevance, as well as elements of independent work
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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). Applications must include the following elements: Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above) . Translations into English or
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of Mathematics ranges over many different areas of mathematics, from algebra, geometry and analysis to mathematical logic. Project description We seek to recruit a PhD student for the following project: Group
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the main basis for assessment. Breadth, depth, and relevance, as well as elements of independent work, shall be taken into account. Terms and conditions The position is a fixed-term employment of four years
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experience in large-scale quantitative and functional proteomics Experience in sample preparation of cells for quantitative proteomics Strong skills in quantitative proteomics data analysis using R, as