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within any of galaxy formation, Lyman-alpha absorption, ISM/CGM evolution, and spectroscopic data analysis are strongly encouraged to apply. Responsibilities and qualifications Your overall focus will be
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. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems. The Center for Classical Communication in the Quantum Era (CLASSIQUE) is a pioneering
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ongoing national and international research projects and will focus on one or more of the following themes: Artificial intelligence and data driven methods for energy system analysis and control Data-driven
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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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. Specific tasks in the project will be: Draft a suitable work- and time plan. Examination of vaccine-induced immune response by gene expression analysis of samples from earlier animal experiments. Optimize
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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
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expected with the purpose of performing field studies and data analysis with one of the leading groups in the field. Qualified applicants must have: A BSc in physics followed by a master’s degree in physics
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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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doctoral candidates with skills in interdisciplinary research, spanning from nanotechnology and materials science to molecular microbiology, biochemistry, and infection medicine to AI-based data analysis
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. The duration of the position is three years. The PhD stipend is available within the general study program "Computer Science". Your work tasks The main tasks for this PhD project consist of requirements analysis