31 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" PhD positions in Denmark
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. Learn more about the department on our website and in our research portal . Your work tasks This PhD stipend will be affiliated with a research and innovation project focusing on health system innovation
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• Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD student will be to develop and complete a PhD
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implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and classification. You will evaluate
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strengthen your profile but is not a requirement for the position. The core academic profile sought is within process engineering or a related discipline. You should have an interest in and motivation to learn
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, computer science, interaction design, applied artificial intelligence, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire
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innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons
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, and machine-learned force fields to describe ion transport and interfacial evolution. These models will be extended to mesoscopic and continuum scales (kinetic Monte Carlo, phase-field) to capture
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conducted as engaged scholarship, where research findings are developed in close dialogue with practice and contribute to ongoing strategic conversations, reflection, and learning. The successful candidate
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project under supervision • Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD
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parties. Learn more about these initiatives at our Career Hub . The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and