62 post-doc-numerical-methods PhD positions at Technical University of Denmark in Denmark
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidate will be made by Professor Lars Jelsbak and Post Doc Carlos Neftaly
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of analytical and numerical techniques to provide better understanding of and control over the fundamental properties of light-matter interactions and in this way realizing new nanophotonic devices
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primarily experimental, complemented by numerical modeling, and will be carried out within the “Fiber Optics, Devices, and Nonlinear Effects” group at DTU Electro. As a PhD student, you will be part of a
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qualifications we are looking for: Excellent knowledge and practical experience on current molecular microbiology methods Experience with genomic and transcriptomics data analysis is beneficial. Experience with
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-situ spectroscopic and microscopic methods, including XRD, Raman spectroscopy, TEM, and XPS. Evaluating catalytic performance for various electrochemical reactions, such as the oxygen reduction reaction
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the biochemical, physicochemical, and techno-functional properties of the extracted material using state-of-the-art facilities. Scale up the extraction methods using the advanced facilities available
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challenges and decision-making under uncertainty. Ability to translate conceptual models to their mathematical formulation and to test them with numerical and simulation experiments. Excellent communication in
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and machine learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three
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September 1, 2025, or as soon as possible thereafter. The f -elements of the periodic table play an essential role in numerous technologies, including catalysts, magnets, and photonic devices. Their distinct
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-driven methods to characterize demand-side flexibility using e.g., by using a set of coupled stochastics differential equations or data-driven digital twins. As a result, we will aim at obtaining a