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This moonshot project focuses on researching and exploring the potential of flexible and printable electronics, fabrication technologies, and applications in wearables based on the Voltera NOVA printer. Tasks will include ECAD and MCAD design, manufacturing, and prototype testing. - Electrical and Electronic Engineering, Printing Technology
- Bachelor Thesis, Biomedical (PBL), Energy Harvesting (PBL), Master Thesis, PCB Design (PBL), Semester Project, Wearables (PBL)
| Extend the recent Marigold in different aspects - Computer Vision
- Master Thesis
| This project focuses on designing testbeds for self-sustainable IoT sensors, specifically targeting solar and thermal energy harvesting. Tasks will include ECAD and MCAD design, firmware development, and prototype testing. - Electrical and Electronic Engineering, Mechanical Engineering
- Bachelor Thesis, Energy Harvesting (PBL), Firmware (PBL), Master Thesis, Microcontroller (PBL), PCB Design (PBL), Semester Project, Software (PBL)
| Digital tools, including smartphone apps and conversational agents, hold great promise for enhancing cancer supportive care. These apps can measure patients' symptoms, offering personalized advice on supportive care interventions (e.g., physiotherapy, psychologist, nutritionist) and improving access to such services for cancer patients. Despite the effectiveness of digital health interventions, there is currently a gap in automatic conversational agents that assess symptoms and provide advice on supportive care treatment for cancer patients. This project aims to evaluate the potential of Large Language Models in creating a conversational agent capable of assessing symptoms in cancer patients and offering personalized advice on cancer supportive care. - Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Lab Practice, Master Thesis, Semester Project
| Digital tools, such as smartphone apps, offer promising opportunities to enhance cancer supportive care. Smartphone apps can measure patients' symptoms and provide personalized advice on supportive care interventions. However, to date, a patient-centric approach (i.e., co-designing an app with users) is lacking in the development of such apps. By co-designing the app with users, potential barriers to implementation, such as engagement and usability, can be addressed, leading to increased adherence and a more sucessful implementation. The aim of this project is to use a patient-centric approach to design and develop a smartphone app for cancer patients. - Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Lab Practice, Master Thesis, Semester Project
| Are you fascinated by the untapped potential of wearables and smartphone apps in revolutionising the way we manage and treat chronic conditions? This project offers an unparalleled opportunity to dive deep into the world of digital health, exploring how mobile technologies can enhance remote assessment and deliver impactful interventions for conditions ranging from mental health to heart disease, and beyond. - Behavioural and Cognitive Sciences, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| In this project, we aim to develop a visualization tool designed for rendering and interacting with 3D human motion and scenes. - Computer Graphics, Computer Software, Computer Vision, Engineering and Technology, Virtual Reality and Related Simulation
- Bachelor Thesis, Semester Project
| This project aims to develop advanced
earthquake forecasting models using
bio-inspired Spiking Neural Networks (SNNs).
By exploiting the inherent flexibility of SNNs,
the project will create sparse, multi-step
forecasting models capable of integrating
data from various sources. These models will
be built and tested using the NEST neural
simulator, emphasizing neuroplasticity,
neuromodulation, and neural Darwinism
principles. The goal is to enhance the
efficiency of earthquake predictions by
learning more effectively from limited and
lower-quality data, potentially leading to
significant improvements in forecasting
methods and ultimately reducing the risks
associated with seismic events. - Earthquake Seismology, Knowledge Representation and Machine Learning, Neural Networks, Genetic Alogrithms and Fuzzy Logic
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Are you interested in designing novel hydrogel materials? We have a project available that focuses on formulating high-performance hydrogels for load-bearing applications. - Chemistry, Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| Cartilage damage in the knee joint can be caused by aging or repetitive actions. It can be treated by surgically removing the damaged cartilage tissue and filling the generated defect with a precisely shaped, healthy cartilage graft. Removing the defected cartilage is commonly done with surgical curettes. We are investigating the use of laser ablation for a more precise defect preparation process. With two different lasers, we managed to obain promising results regarding cell viability in live samples. However, laser parameters such as pulse frequency and energy need to be optimized towards higher cutting efficiency. Your task will be to prepare a setup to test, optimize, and validate various parameter sets using different lasers for articular cartilage ablation. - Biomedical Engineering, Optical Physics
- Master Thesis
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