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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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produced contain the therapeutic element; iv) Challenging downstream purification with low yields due to the similarity between the desired product and the product-related impurities .The proposed project
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collection design and method. Remote Working: Is this project suitable for remote working? Yes Remote working details: This project could be done remotely but the fieldwork component would need to be
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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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from end-of-life recycled aluminium to reduce embedded carbon level to below 2 tonnes CO2e/tonne of aluminium as a supplied component and eventually to Net Zero carbon. This project is concerned with
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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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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
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temperatures. This phenomenon is known as “Hot Corrosion”, also called high-temperature corrosion. In other words, the formation of a permeable non-protective oxide film at metal or alloy surface having