17 phd-scholarship-for-solid-mehanical-engineering-in-image-processing PhD positions at Tallinn University of Technology
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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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technology Offered by: School of Engineering. Department of Materials and Environmental Technology Description The research This PhD project focuses green chemistry fire retardant pretreatment of veneers
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://academicpositions.com/ad/tallinn-university-of-technology/2025/phd-posi… Requirements Research FieldEngineeringYears of Research Experience1 - 4 Research FieldEngineeringYears of Research Experience1 - 4 Research
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within a Research Infrastructure? No Offer Description We are looking for a highly motivated and ambitious PhD candidate with experience in either biomedical engineering, machine learning, polymer
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process (process-specific design) (2) Optimization of the LPBF process parameters to achieve desired microstructure and material properties, (3) In-depth materials, and property testing and (4) Prototype
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manufacturing, thermomechanical simulations, and process modeling (prior experi- ence in finite element analysis, computational thermodynamics, or residual stress modeling will be advantageous) Solid
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Takehiko Nagumo. Smart Cities are the currently leading paradigm in the democratic strand of digital government research. This PhD research is to utilize and further develop the existing Strategy Map
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://academicpositions.com/ad/tallinn-university-of-technology/2025/phd-posi… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research FieldComputer scienceYears of Research Experience1 - 4
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2 Oct 2025 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Materials engineering
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technologies. This PhD project seeks to fill this gap by quantifying and comparing environmental performance across various management routes for SMR radioactive waste streams, thereby guiding technology