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for Delft Engineering Education (IDEE) initiative, on the theme “Future Engineering Skills”. You will work in a cross-faculty research team of more than twenty TU Delft staff members, an educational
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stock and catenary, as well as the interfaces and dynamic interactions between them. The research, innovation, development and education of the section concern the whole life cycle of the assets, from
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information (e.g., time series data) using supervised and unsupervised learning models. Besides, you will develop your a) writing and communication skills by publishing in journals and conferences, b
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: Venspec-H and Venspec-U. You will develop a sophisticated radiative transfer code (based on an existing Fortran-code) tailored to the optical properties of these two spectrometers that will include various
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computer vision methods. Design and set up experiments. Deploy your algorithms on machines. Write well-documented code. Prepare demonstrators. Write scientific papers. Guide Master's and/or PhD students
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reduce the carbon footprint of our society, the energy systems must develop on the local scale. To enable local energy systems we need digital twins that can support operational decision making by
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computer vision methods. Design and set up experiments. Deploy your algorithms on machines. Write well-documented code. Prepare demonstrators. Write scientific papers. Guide Master's and/or PhD students
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researcher working in the Horiozon Europe F4ECLIM. The goals for this position is that you will further develop the open-source climate model with a novel approach to address the uncertainties related to NOx
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career will be available, such as mentoring BSc/MSc Students, conference presentations, networking, and teaching. Requirements Specific Requirements The candidate shall hold a: PhD in Mechanical