83 scientific-programming PhD positions at Technical University of Denmark in Denmark
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. The scientific work conducted must be positioned relative to current literature and published in conference and journal articles. You are required to have an excellent academic background and must have a strong
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Job Description Are you passionate about materials science, electron microscopy, and tackling real-world environmental challenges? Join us at the National Centre for Nanofabrication and
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study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific
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and systems. Your PhD project will result in scientific publications and experimental validation of your results. You will present at international conferences as part of your research training, and you
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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production at a partner company. The position includes both theoretical and experimental work and carries project as well as academic responsibilities. The scientific work conducted must be positioned relative
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming
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of research results in scientific journals and conferences. Qualifications: Good understanding of solid mechanics and preferably modeling of damage and/or fracture. Experience with experimental work and data
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findings through scientific publications and presentations at international conferences. We are looking for a candidate who: Think creatively and approaches problems with an open, computational mindset. Is