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of the team, the fellow will be directly involved in project coordination, data collection, data analysis, and the write up of results for submission to peer-reviewed scientific journals. Project description
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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their ph.d. degree, the doctoral dissertation must have been submitted for evaluation before the application deadline. Previous experience with analysis of genetic and/or brain MRI data is required. Previous
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creative, participatory methods with established techniques such as case study and document analysis. This multi-method strategy seeks to co-create knowledge with refugee families, local communities, NGOs
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studies using biochemical analysis, imaging tools and transcriptomic approaches. Compounds that exhibit immunomodulatory and/or antioxidant effects will be further explored to validate their effectiveness
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Analysis: Utilize various cell and molecular biology techniques, including histology, microscopy, flow cytometry, RNA-seq, proteomics, Western blot, and qPCR, to analyze organoid and mouse models
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Element simulations (e.g. pushover analysis and/or incremental dynamic analysis). Moreover, the project aims to verify the ductility requirements with full-scale experimental results and explore
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benchmarked with a more traditional steam cycle. Process modeling and simulation are important tools for designing and analyzing these processes. Of particular interest is the analysis of the zero-emission
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BSc and MSc students. The faculty has 11 research groups within chemistry and biochemistry, microbiology and microbial gene technology, bioinformatics and data analysis, food science and nutrition
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multidisciplinary and teacher education and professionalism is explored by multiple methodologies and by comparative analysis. The target group of the PhD programme in Educational Sciences is dedicated individuals