41 phd-mathematical-optimization Postdoctoral research jobs at Aarhus University in Denmark
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a PhD relevant to the academic areas of the Department of Management, preferably within marketing, sustainability transitions, and stakeholder engagement, or related social science fields. Furthermore
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must have a PhD degree or must document equivalent qualifications in a relevant field related to Natural Language Processing (NLP), Literature, Information Science, Media Studies or a closely related
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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to collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, and PhD students. Candidates will become part of a collaborative work environment within and outside QGG
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have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain
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contribute to joint research efforts within the program. · Present your work at group meetings, conferences, and in high-quality scientific publications. · Contribute to the supervision of MSc and PhD students
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to teach in English as well as Danish. Qualifications Applicants must have a PhD degree or document equivalent qualifications in a relevant field related to STS and or /policy-analysis. Applicants must be
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materials crystallography research in collaboration with other members of the Iversen group. The candidates must have a PhD in chemistry, crystallography, physics, materials science, nanoscience or similar
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the successful candidate. We are looking for a candidate who has: A PhD in law or a related field. Prior knowledge of and an interest in human rights law, climate change and environmental law. Ambition to develop
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. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical