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the BSc and MSc levels. Present and disseminate research findings at both national and international scientific conferences. You must have a two-year master's degree (120 ECTS points) or a similar degree
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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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assistant to BSc and MSc courses and co-supervising BSc and MSc student projects. Qualifications In accordance with the abovementioned, you should have qualifications within several of the following areas
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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
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policies and regionalization strategies in the Nordic countries. The PhD will be supervised by Associate Professor Marie-Pier Bergeron Boucher . Required qualifications MSc in Demography, Social Science
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PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
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to efficiently navigate high-dimensional decision spaces, leveraging open-source agent-based simulation tools to evaluate accessibility and environmental impacts of urban planning policies. You should have an MSc
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programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree. Option B: An up to five year full-time study programme within the framework of the integrated MSc and
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of programming languages. The ideal candidate has an MSc in Computer Science or Mathematics and experience in one or more of the following areas: Theory of programming languages. Logical methods in
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Machine Learning modeling and optimization Generative AI modeling (closed-loop AI tools, or related AI-tools) Design of molecular binders Interest in mentoring MSc students and helping coordinate with