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and practical work. The project focuses on the optimization of the pre-printing, printing and post-printing processing parameters when working with two distinct AM technologies: laser powder bed fusion
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further development of simultaneous localization and mapping algorithms for the surface vessels. Machine vision incorporating RGB, thermal imaging, and perhaps spectral imaging could provide a significant
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the behavioral model of the vessel. PhD project includes the production of the stabilizing system and the prototype test platform for experimental testing of selected stabilizer(s) in the model test basin or in
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, which aim is to create highly reproducible model surfaces through the controlled technological processing. Model surface will be used to study systematically the interactions of wood and adhesive in order
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of multiparameter monitoring and control of the electrospinning process. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning. The project is part of Estonian
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Tallinn University of Technology, Department of chemistry and biotechnology | Estonia | about 2 months ago
microfluidics) Light microscopy, confocal fluorescence microscopy DNA nanotechnology Self-assembly of organic dyes and probe design Nucleic acid amplification technologies Experience in image analysis Experience