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range from nanomaterials and biomachinery to astronomy, from mathematics to pharmacy, from neurosciences to computer science, and from molecular and evolutionary biology to marine biology. The Engineering
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to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical engineering, or a related field. A deep understanding of device physics, numerical modeling, and computer
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on the following topics: (1) philosophy of science in the minor programme Philosophy, the BA programme Philosophy, and the MA programme Philosophy, Science and Humanities; (2) formal epistemology in the the BA
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expected. • A university PhD training programme is part of the agreement and the successful candidates will be enrolled in the Graduate School of Science and Engineering. The starting date is flexible, but
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training to prepare them with the necessary skills and knowledge. It includes a series of modules on Systems Engineering, covering fundamental concepts in mechanical engineering, computer science, and
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with: a (research) master's degree (or equivalent) in Artificial Intelligence or Computer Science (or a related discipline with specialisation in machine learning or computer vision) good programming
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engineering, or a related field. A deep understanding of device physics, numerical modeling, and computer programming is required. Experience in machine learning and data analysis is highly desirable but not
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an international place of knowledge. Faculty of Economics and Business The Faculty of Economics and Business offers an inspiring study and working environment for students and employees. International accreditation
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involve a combination of qualitative and quantitative methodologies. As the successful candidate, you are well-versed in topics relating to climate, tourism, and technology in order to skilfully balance
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As a Lecturer, you will contribute to teaching in the Bachelor programme Spatial Planning & Design. Your main teaching tasks will be related to the studio-based Spatial Design courses as