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PhD degree in civil, mechanical, or electrical engineering, computer science, or a closely related field. A desire to engage in cross-disciplinary research at the intersections of civil, mechanical
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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer
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relevant (e.g., teach and co-supervise PhD and MSc student projects). Dissemination of your research through publications in “top rank journals of the field ” and attendance at conferences. Qualification
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have successfully defended a PhD thesis in a relevant discipline (computational mechanics, mechanical/aerospace engineering, simulation technology, applied mathematics, etc.). If you have not received
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science. Your competencies PhD in computer science, statistics, data science, or a closely related field. Expertise in probabilistic machine learning, optionally generative and Bayesian models. A strong
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participate in funded research projects. Publish in high-impact scientific journals and conferences. Contribute to teaching activities within the section. Supervise PhD, Master, and Bachelor students in related
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highly collaborative effort, internally within experimental groups at DTU and externally with other leading universities. CatTheory has a strong infrastructure and computational facility. Responsibilities
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research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a