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PhD study in connection with the Master study. Thus a prerequisite for acceptance is that the candidate is enrolled in a relevant Master’s programme. The stipend consists of two parts, A and B. During
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Python programming skills are also required. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a
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decision-making. A main challenge is finding ways to link AI-driven creativity with clear environmental performance feedback early in the design process. This phase is characterized by high uncertainty in
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high degree of self-motivation, creativity, accuracy, and a structured approach to problem solving. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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The candidate must have a Master degree in the relevant area (e.g., Mechanical or Chemical Engineering), with documented knowledge within liquid fuel combustion and advanced CFD modelling of turbulent reacting
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parameters, models, and statistical uncertainty. Safety formats will be assessed using risk-based approaches considering emissions, human safety, and economy considering also advanced design methods. Main
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around building and deploying AI in healthcare. The main case will be automation of anesthetic pre-screenings. Potential auxiliary cases include evaluation of laparoscopic surgery and AI assistance
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additional teaching or supervision activities relevant to the department’s programmes. PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years
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articles for the public. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for
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to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the