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small-scale nitration trials under controlled and safe conditions, analyse the resulting NC with the centre's analysis package and quantify the relationship between feedstock and NC properties. The work
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written and spoken English. Meriting criteria are: experience with latent variable models or closely related statistical models; experience with change-point methods, text analysis, or scalable statistical
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of stress; biotechnology and metabolic engineering; growth and development of plants; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species
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forward, and strengthen their academic profile. Your primary responsibilities will involve data analysis of existing health records, risk factors, and genetic data, as well as preparing research manuscripts
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variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics
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; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis thaliana, Physcomitrella, tobacco and yeast
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(e.g. 4C, niche theory) to describe interactions between cultivated crops and their surroundings. The position means that you will be responsible for data analysis and scientific publication
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
immunohistochemistry and morphological analysis of microglia and neurons Apply for postdoc fellowship with help from the lab whenever possible. Requirements Essential requirements PhD in neuroscience Hands-on experience
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culture and molecular biology techniques, have hands-on experience with flow cytometry, including analysis and cell sorting, have documented experience working with animal models. The following
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for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also