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costs. Condition monitoring (CM) of rolling element bearings, hereafter called bearings, has been the main point of attention for many decades in the industry for maintenance. This is because bearings
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component of this project will be the integration of cost-benefit analysis to assess the effectiveness of different restoration efforts, exploring their potential to meet both local and regional biodiversity
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English, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported
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block diagrams, the high-level layout of component arrangements or source code. Supervisory Team: The candidate will be supervised within the Cybersecurity and Computing by Dr Abdul Razaq and Dr Sanaz
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
(MS) to study reaction and drying kinetics. X-ray Diffraction (XRD) for crystalline phase identification. Scanning Electron Microscopy (SEM-EDX) for microstructural and elemental analysis. Numerical and
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. Generating gastruloids from induced pluripotent stem cells (iPSCs) to create in vitro models for studying critical steps of gastrulation and early development. Creating iPSC lines with mutations in elements
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candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 06/27/2025 Prae Doc
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thermal-catalytic system and nonthermal plasma system will also be investigated. The project will involve the preparation and modification of porous materials (e.g., zeolite, MOFs, metal oxide) and
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, including SuperMagdrive, operates using metallic propellant, offering density, integration, and safety advantages compared to conventional launcher propellants such as hydrazine. However, metal propellants
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will dynamically adjust turbine parameters such as yaw, pitch, and torque to maximize Annual Energy Production (AEP) while minimizing component stress. Additionally, a hybrid predictive maintenance model