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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8821F Please leave the Research Area blank Select ‘PhD Physics Theoretical (full time) as the
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energy trading strategies will also be proposed and investigated to achieve optimized P2P trading within the EC. The project will be done using MATLAB coding and modelling in Simulink environment. Funding
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Distinction at postgraduate level) and experience conducting research with human volunteers. Experience with quantitative data analysis or experience with coding/programming is desirable, as is knowledge
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of GenAI-assisted software engineering. We envision the following tasks for you: Analyzing the interplay between software specifications and generative AI-based code generation. Designing and evaluating
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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drones and outdoor data collection with international teams, and have an interest in coding and handling large spatial and temporal datasets, this position is for you. This PhD offers the opportunity
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of modeling, coding and programming Furthermore, emphasis is also placed on your: experience from real-world energy projects or case studies related to energy systems and heat storage technologies expertise in
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the programme code: 8100F · select ‘PhD Chemistry (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8080F Research area: Pure Mathematics select ‘PhD Mathematics (full time)’ as the programme of study You
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8839F select ‘PhD Physics (FT) (Experimental)' as the programme of study You will then need to provide