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Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R
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intelligence, and research software engineering, and is interested in developing robust, transparent, and sustainable computational tools. Experience with first-principles electronic structure methods, machine
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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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At the Technical Faculty of IT and Design, Department of Sustainability and Planning, a PhD stipend is available within the general study program Development and Planning. The stipend is open for
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD
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to research‑based teaching, employing innovative methods to enhance student learning. It oversees a graduate program in Population Studies. The center fosters an inspiring academic environment and strives
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of Bayesian optimisation Experience of numerical computing for optimal control, dynamical systems, Bayesian inference and Bayesian optimisation. Experience of running controlled fermentation experiments
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-based tools such as BioSTEAM and Brightway LCA Software will be an advantage. Excellent communication skills in English, and willingness to work in an international, interdisciplinary team. Openness
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Energy at Aalborg University (AAU Energy) invites
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creative design processes. The lab will provide access to shared resources, joint supervision, and interdisciplinary training in AI, Life Cycle Assessment (LCA), and computational design tools. The objective