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Job Description DTU Management would like to invite applications for a 3-year PhD position starting no later than October 1st, 2025. You will work under the supervision of Associate Prof. Filipe Rodrigues, Prof. Kira Vrist Rønn (SDU), and Associate Prof. Line Harder Clemmensen (KU). You will...
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of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior scientists aimed at excellent science
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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of mechanics, including mechanical properties of materials, strength and vibration analyses, thermodynamics, fluid mechanics, safety theory and control engineering. The research under the section of Materials
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, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab to the development
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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including
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students to work on theory of polaritons and light–matter interactions, and in particular topics related to Mie-resonant photonics, electron-beam spectroscopies, chiral polaritons, nonlinear optics, quantum
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, synthetic biology, mathematical modelling and AI/ML and more to design the next generation microbial cell factories. We do this with “the end in mind,” meaning that we have a commercial and industrial
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equivalent to a two-year master's degree. Your academic background needs to be relevant to the above-stated project objectives, e.g., civil engineering, mechanical engineering, physics, or applied mathematics
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites