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Hydrogel materials are crosslinked polymer networks with reversible swelling, tunable porosity, elasticity, toughness, and flexibility. Conventional hydrogels often suffer from weak mechanical properties and display brittle and unstable behaviour limiting their scope for load-bearing applications. Such networks consist of side-chain functionalized polymers, whose covalent crosslinks occur at fixed positions on the polymer backbone (Figure 1A). Upon deformation, tensile stress is concentrated on the closest neighboring crosslinks, eventually leading to their rupture and material failure. Hence, the molecular design of high-performance hydrogels with toughness and elasticity similar to rubber is an emerging area of research in the engineering of polymeric materials with applications towards robust medical materials or soft robotics. - Macromolecular Chemistry, Materials Engineering, Supramolecular Chemistry
- Master Thesis
| Histopathological approaches have remained the same for the past 200 years despite the limitations resulting in detrimental implications: (i) The specimen preparation (cutting to prepare thin tissue slices) is extremely laborious. (ii) Due to the laborious work, only 2% of the tissue sample is prepared and analyzed in 2D. (iii) The low sample amount and the generated 2D images limit the extractable information. These limitations culminate in a false negative cancer detection rate of up to 28%. Failure to detect up to 28% of cancer cells is unacceptable. By combining technology from biomedicine, mechanical engineering, and food science, we have developed a game changing interdisciplinary solution that mitigates the bottlenecks associated with 3D tissue sample preparation, enabling the generation of spatial images within 2 days. - Biology, Chemistry, Engineering and Technology, Medical and Health Sciences
- Bachelor Thesis, Course Project, Internship, Master Thesis, Semester Project
| Multi-disciplinary research project at the intersection of food field, process control, mechanical engineering, and data science. The project offers the opportunity to gain hands-on experience and contribute to the development of innovative solutions
for plant-based meat production. - Artificial Intelligence and Signal and Image Processing, Control Engineering, Food Engineering, Process Control and Simulation, Systems Theory and Control, Systems Theory and Control
- Master Thesis, Semester Project
| This project aims to develop a multi-person pose estimation and activity monitoring system for pre-surgical intubation procedures. The system will utilize multiple depth cameras to track the body poses and activities of multiple persons involved in the procedure, including the patient, anesthesiologist, and other medical staff. - Artificial Intelligence and Signal and Image Processing, Computer Software, Engineering and Technology, Information Systems
- Master Thesis
| This thesis addresses the potential of tradeable emission permits to reduce greenhouse gas emissions of Swiss agriculture, especially in animal husbandry as climate change mitigation strategy. Tradeable emission permits are not yet used in Swiss agricultural policy but could possibly reduce the problem of stagnating emissions. - Agricultural, Veterinary and Environmental Sciences
- Master Thesis
| There exists an accurate and robust spine segmentation pipeline for CT images (anduin.bonescreen.de). This is a series of three networks as shown in the figure (left), that are trained in a supervised manner using thousands of annotated CT scans. Can we now transfer these networks to segment MR images without any ground truth annotations? - Computer Vision
- Master Thesis
| Laser powder bed fusion (LPBF) of metals is a process where three dimensional parts are manufactured by sequentially spreading thin layers of metal powder feedstock and melting portions with a laser. The process involves high cooling rates (up to 106 K/s) which lead to a very peculiar microstructure characterized by a bimodal grain size distribution. Fine grains areas are clearly visible in some regios, identified as the meltpool boundaries, however columnar and elongated grains are present in other areas of the sample. Depending on the final application, one microstructure is preferable over the other, therefore the understanding of how it is formed and control its evolution is extremely relevant for industrial applications. - Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| Agri-environmental schemes are important to promote biodiversity-friendly farming practices. This thesis aims to propose a result-based scheme that uses machine learning to predict species diversity. - Agricultural, Veterinary and Environmental Sciences
- Master Thesis
| Laser powder bed fusion (LPBF) of metals is a process where three dimensional parts are manufactured by sequentially spreading thin layers of metal powder feedstock and melting portions with a laser. Byproducts of the process, such as fume and spatter, originated by the dynamics of the melt pool, can fall onto the powder bed or interact with the laser and potentially cause material defects in the parts. In this project, the student will conduct experimental builds and investigate to what extend the byproducts generation impact on the process robustness. - Engineering and Technology
- Bachelor Thesis, Master Thesis
| Translation averaging is the problem of estimating the global 3D translation of a set of cameras given their orientations and a set of relative translations estimated from image pairs. Translation averaging is a cornerstone in global Structure-from-Motion algorithms. This project is about designing a deep network that iteratively removes incorrect relative translations to estimate the global ones.
- Computer Vision
- Master Thesis, Semester Project
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