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of material properties in short-fibre reinforced thermoplastics with different polymer matrices, such as polyamides, polyphenylene sulphide, and isotactic polypropylene. The study will focus on ageing induced
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systems and edge intelligence. Advanced Architectures & Edge AI: Familiarity with modern neural networks is required. Experience with edge-specific model compression—such as knowledge distillation
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data-driven engineering sectors. Continuous Direct Compression (CDC) is rapidly emerging as a preferred method for pharmaceutical tablet production. A central challenge is powder blending, where active
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extraordinary multiscale geometric features and nonlinear mechanisms, enabling them to stretch, bend, twist, compress, or experience sudden changes in deformation without permanent damage. Most existing designs
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. The work will include: • Conducting laboratory experiments to characterize radionuclide interactions with engineered barrier materials and environmental matrices. • Performing radioanalytical measurements
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matrices. • Performing radioanalytical measurements and chemical characterization of samples. • Applying and developing numerical transport and geochemical speciation models. • Evaluating radionuclide
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environmental matrices is desirable, but the extraordinary stability of their carbon-fluorine bonds is challenging even for the most advanced remediation technologies. Thermal treatment is currently the only
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provider how to adjust their compression depth, rate, and release to improve patient outcomes. The student will have the opportunity to work with a range of engineers, doctors, and paramedics and will help
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to education, experience and personal qualities. All documentation must be provided in a Scandinavian language or English. If the attachments exceed 30 MB in total, they must be compressed before uploading