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or habitats knowledge of data analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity
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analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
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. The research group, led by Professor Thoas Fioretos , consists of about ten members with expertise in advanced flow cytometry, single-cell analysis, bioinformatics, antibody technology, and experimental systems
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, you will have the opportunity to develop your skills in forest ecology, mycology, conservation science, data analysis, and scientific communication. You will contribute to conservation-relevant research
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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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variable renewable energy (VRE) output will enable the analysis of structural changes to the power sector and its coupling with adjacent sectors for heat, industrial demand, and transportation. From a policy
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synchrotron techniques such as X-ray photoelectron, absorption and fluorescence spectroscopies, and X-ray diffraction will be used for real-time analysis. Measurements will be conducted in controlled
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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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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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of Mathematics and Mathematical Statistics, alongside Computational Mathematics, Mathematical Statistics, and Analysis & Modelling. The Discrete Mathematics group consists of 10 faculty members whose research