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a new methodology that aims to change the way that Zero-emission buildings are designed, by integrating all interdependent analysis and partial alternative decision-making processes under a holistic
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has been on single-camera data analysis. As a PhD at TU Delft you will conduct unique research and design machine learning algorithms for detecting relevant activities from multiple cameras, and
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like bias and fairness. You will delve into various aspects beyond these to ensure a comprehensive framework. Second, you will also design methods to systematically evaluate a range of models against
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. Strong background in signal processing and optimization. Background in electromagnetics and antenna design is appreciated. Proficiency in programming languages such as Python or MATLAB. Experience with
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: coupling between fluid flow and chemistry, coupling between solid phase and fluid flow, solid phase decomposition, pollutant formation (including tars), impact of design choices and biomass type, etc
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. The relations between the naval vessel functions and the corresponding physical vessel systems must be referenced and implemented in the vessel architecture so that the impact of design choices and new
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service design perspective, the PhD candidate will evaluate the extent to which scheduled services may change in frequency, and network coverage resulting from integrating these scheduled services in
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relevant and inter-connected at sub-daily scales. Inform, and contribute to the design of a sub-daily radar satellite mission Develop modeling and retrieval techniques to capture sub-daily signature
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the following 'Nice-to-haves': Experience in design and/or operation of lab-scale bio-reactors proven by previous practical or research projects Experience in metagenomics and metaproteomics, including wet-lab
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. The goal of this project is to develop a novel MPPT technique to quickly and accurately find and track the MPP condition of the plant energy harvester. A DC-DC converter will also be designed to demonstrate