University of ZurichAcronym | UZH | Homepage | http://www.uzh.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Current organization | University of Zurich | Child organizations | | Members | | Memberships | |
Open OpportunitiesDigital 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
| gpuFlightmare: High-Performance GPU-Based Physics Simulation and Image Rendering for Flying Robots - Engineering and Technology
- Master Thesis, Semester Project
| Fly like a bird - Engineering and Technology
- Master Thesis, Semester Project
| Visual Representation Learning for Efficient Deep Reinforcement Learning
- Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| We are currently looking for Master students in the field of Bioinformatics or Computational Biology for the analysis of cell-free DNA sequencing data. We have several topics which students can apply for depending on their previous expertise and proposed duration of the project (3 months or longer). - Medical Biochemistry: Nucleic Acids, Sequencing and Genomics
- Internship, Lab Practice, Master Thesis, Semester Project
| The project aims to modernize and improve the process of medical image registration, currently performed through a method known as pTV. Offering a unique combination of numerical programming and practical software implementation, this project promises visibility and application in the ever-evolving field of medical imaging technology. Suitable as a semester-long or master's project. - Computer Software, Medical and Health Sciences
- Bachelor Thesis, Course Project, ETH Zurich (ETHZ), Lab Practice, Master Thesis, Semester Project
| Do you want to combine statistics, machine learning (ML), and artificial intelligence (AI) algorithms with important medical applications? Are you motivated to work with interesting real-world data and excited to implement and apply machine learning algorithms to produce personalized decision support tools? - Biology, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Lab Practice, Master Thesis, Semester Project
| The aim of this project is to develop a camera-based solution for motion correction of cerebrovascular 4D flow MRI, including hardware development and (deep learning-based) data analysis. - Biomedical Engineering, Computer Vision
- Bachelor Thesis, Master Thesis
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