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familiar with quantitative statistical analysis and has at least a basic understanding of statistical analysis framework or software. If you do not have any experience with the above but are interested in
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mathematical disciplines. This includes both fundamental and applied research in statistics (e.g., statistical methods for forensics, life sciences, topological data analysis, spatial statistics, and
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: Strong competences within solid state physics, materials science, solid state chemistry or similar. Experience with experimental setups and laboratory work. Experience with data analysis performed using
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of value-added chemicals. To this end, the PhD candidate will apply computational methods, such as flux balance analysis and genome-scale metabolic modelling, to design synthetic metabolic modules
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characterization, dual-comb applications, numerical simulations, and data analysis. You will play a leading role in disseminating research results and actively participate in collaborative projects. You will also
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quantitative analysis to strengthen data-driven approaches in pharmaceutical and chemical research. The project forms part of CPDSE’s broader effort to advance computational and data-scientific methodologies
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functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and uncertainty analysis to uncover the most significant variables in the derived limit states
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. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation
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-based methods with traditional risk analysis frameworks to reduce the risk of hazards during the complex interactions that arise under bunkering and other simultaneous operations in ports (SIMOPS
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adsorption analysis, Mössbauer and X-ray spectroscopy. The latter includes skills in formulating and implementing kinetic and continuum models, e.g. geochemical and biogeochemical reaction modelling. You will