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College (Prof. Pinson). The core objective of the COMET project is to develop and validate novel data sharing and machine learning-based methods for achieving net-zero carbon energy supply and investigate
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are relevant to our strategic objectives and will facilitate: - Decarbonisation of the existing building stocks - Sustainable and skilled local employment - Addressing of relevant non-technology market barriers
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fast response, new sensing-electrode chemistries, and an expanded scope of gases. The objective of the proposed PhD project is to investigate new materials, manufacturing routes and devices as
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types, their content, and also the relationships between the individual objects. To apply for this position, the candidate should possess in-depth skills in programming and hands-on training and
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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into account the distance to the currently failing solution. Developing such a methodology requires a formalization of the design space and the distance between models as an objective function. To apply
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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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researcher in the project: As doctoral researcher in the project your main task is to contribute to achieving its objectives. You are required to conduct qualitative social science research, including