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. In this project, you will have the opportunity to combine molecular biological methods with field studies and data analysis to enhance preparedness against forest diseases and promote sustainable
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principles, and computer-based analysis methods. The research will include investigating aggregated data from genetics, archaeology and linguistics Requirements PhD degree in Population genetics
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: Conducting experimental studies on radionuclide sorption onto cement phases Performing spectroscopic studies with XPS to determine metal oxidation states Participating in DFT calculations on metal sorption
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related field. Documented research experience in heterogeneous catalysis, thermochemical conversion, or carbon materials. Strong experimental skills in operating laboratory-scale reactors, gas analysis, and
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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lymphoblastic leukemia (ALL). This will include RNA-sequencing of single leukemia cells, bioinformatic analysis of the data, follow-up analyses, and functional experiments. You will be responsible for executing
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analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis, Physcomitrella, tobacco, crops such as oilseed rape, basket willow (Salix), potato and cereals, and
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– structures that regulate the selective entry of metal species into nanocompartments; and (4) inert surfaces – outer assemblies that remain stable in supersaturated solutions. Performing high-throughput
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, magnetometry and electron transport in bulk phases. This is in line with experience within our group on materials growth, structural analysis by diffraction including the use of Rietveld refinement, and
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analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics