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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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employment. Required selection criteria You must have an academically relevant background within Risk Analysis or Naval Architecture. This can be proven by the academic papers/presentations, participation
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Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic conversion systems and/or optimization techniques. Experience and interest in experimental work
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combination of experimental testing, theoretical analysis, and numerical simulations, the study aims to characterize the effect of mechanical loading on surface oxide integrity and hydrogen permeation dynamics
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learning is required. Experience with spectral wave modeling is an advantage. Experience with ocean modeling is an advantage. Experience with metocean data analysis is an advantage. Experience with git
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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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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-mechanical coupling. Understanding of wellbore and casing behavior under thermal load. Desired skills: Finite Element Analysis software: Abaqus, COMSOL Multiphysics, or ANSYS Python (for data analysis
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visions is to use artificial spin systems as a platform for efficient and powerful data analysis at all scales, ranging from low-power computation in the simplest sensor node to accelerated data processing
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. Programming skills, with experience or willingness to learn Python. Experience with image analysis and/or signal processing techniques. Quality of the master's thesis and the relevance of the master's thesis