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Project description: Reliable, high-resolution electricity demand data are scarce across the global south, limiting our understanding in these regions of the relationship between weather and energy demand
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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The Biomedical Image Analysis Group, led by Prof Ben Glocker, in the Department of Computing at Imperial College London is seeking a talented Research Assistant / Associate to take a key role in an
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conferences. Candidate requirements: Due to funding restrictions, the position is only available for UK candidates 1st or 2:1 academic qualification in Engineering or Physical Sciences or a related discipline
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Entry requirements Applicants should have a first or second-class UK honours degree or equivalent in a relevant discipline. This project would suit a student with engineering, physics, mathematics
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of diverse industrial processes. While mono-material felts offer simplified recyclability, blended fibre felts remain essential for applications requiring enhanced performance, such as high
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of canopy reflectance profiles with soil/vegetation radiometric temperatures, require a large set of input parameters and the relationship between model’s inputs and outcomes is not very well studied
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an overall IELTS score of 6.5 (at least 5.5 in all sub-skills) or equivalent language qualification. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate
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knowledge or interest in any of the following: maritime engineering, renewable energy, maritime robotics, experimental hydrodynamics, mechatronics, kinematics, and dynamics. Entry Requirements A very good
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) at the master’s level (at least a 2.1 honours) in a relevant science, mathematics, or engineering discipline are especially encouraged to apply. Additional requirements: Demonstrated determination and resilience