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on the left with your smartphone. Where to apply Website https://academicpositions.com/ad/tallinn-university-of-technology/2025/phd-posi… Requirements Research FieldEngineeringYears of Research Experience1 - 4
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will help optimize manufacturing conditions and guide the development of reliable heat treatment strategies. The PhD student will also validate simulation outcomes against experimental results, working
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for additively manufactured switched reluctance machines. The project focuses on optimizing the selection control method according to the machine design. Also, the control method will be used as an input
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Description The aim of this research is to enhance the durability and fire resistance of veneer-based wood products by developing and optimizing a sustainable wood densification process. The study seeks
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highly motivated and ambitious PhD candidate with experience in either biomedical engineering, machine learning, polymer technology, physics, electrospinning, or similar fields,to join our Lab- on-a-chip
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the built environment. The aim of this PhD research is to develop and validate a low-barrier digital toolkit that integrates material passports with modular LCA procedures to optimize resource reuse in
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infrastructure. The research aims to improve the detection of complex environments, anticipate hazards, reduce accidents, and optimize traffic flow, ultimately enabling safer and smarter autonomous driving
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topologies tailored for DC-powered HVAC units Synthesis and implementation of control strategies enabling droop-based HVAC operation with optimized energy efficiency Implementation of simulation models (PLECS