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, processes, and practices, and how educational institutions prepare students to navigate these changes and contribute to the development and implementation of AI. The project may draw on perspectives from
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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study pre-PhD. Development, teaching, and operation (40%) Contribute to our extensive portfolio of tasks linked to the ongoing digital transformation of the degree programs at Aarhus University
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include: Motivated letter of application (max. one page) Project
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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with different scientific and personal background Good language skills Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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processes, feasibility testing, and health economic evaluation will be considered an advantage. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends