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of Industrial Engineering and Management is a broad, interdisciplinary subject that spans several sub-areas ranging from organization and management, innovation and entrepreneurship as well as industrial and
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) researches and develops knowledge about and innovative proposals for how planning processes can be further developed, and how both urban and built environments and buildings can be designed to better meet
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
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innovation. We believe that knowledge and new perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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for a maximum of two years at a time, depending on your progress through the study plan. Starting date by agreement. Salary and employment benefits The salary of PhD students is determined according to a
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AI outputs while also promoting inclusivity and ethical design. Supervision: Professor Aristides Gionis What we offer The possibility to study in a dynamic and international research environment in
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project will receive training at the forefront of research and innovation in organic electronics. Moreover, the network will provide the Doctoral candidates with exposure to academic and commercial working
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the optimal design of social support systems. The PhD position primarily concerns the part of the program that studies how AI changes the organization of work and employees. The program currently includes 12
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project will receive training at the forefront of research and innovation in organic electronics. Moreover, the network will provide the Doctoral candidates with exposure to academic and commercial working