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 OpportunitiesYou will develop a diagnostic test for testicular cancer. The focus of the project will be on creating the biochemical protocols for the test. The project is in collaboration with a prelaunch startup and a hospital (USZ). Therefore, it is ideal for motivated students who want to have a direct impact - Analytical Biochemistry, Biological and Medical Chemistry, Biomedical Engineering, Immunological and Bioassay Methods, Interdisciplinary Engineering, Materials Engineering, Sensor (Chemical and Bio-) Technology
- Bachelor Thesis, Internship, Lab Practice, Master Thesis, Semester Project, Summer School
| Collaborating with a dynamic startup, you will work on designing, manufacturing, and testing microfluidic devices to quantify biomolecules associated with chronic inflammation, heart attacks, and tropical diseases. - Biology, Biomedical Engineering, Chemical Engineering, Chemistry, Electrical and Electronic Engineering, Mechanical and Industrial Engineering, Medical and Health Sciences, Physics
- Bachelor Thesis, Collaboration, Internship, Lab Practice, Master Thesis, Semester Project, Summer School
| Join our interdisciplinary student project to transform at-home diagnostics! Work on cutting-edge technology, boost sensitivity, engineer tests for seamless home use, and develop targeted disease detection. Help us to shape the future of healthcare. - Biochemistry and Cell Biology, Biomedical Engineering, Chemical Engineering, Chemistry, Electrical Engineering, Fluidization and Fluid Mechanics, Materials Engineering, Mechanical Engineering, Medical and Health Sciences, Nanotechnology, Physics
- Bachelor Thesis, ETH Zurich (ETHZ), Lab Practice, Master Thesis, Semester Project, Summer School
| You will work on bringing medical tests to peoples home. You will further develop the hardware and software for a readout device that can perform a variety of diagnostic tests in a reliable but simple fashion. - Electrical and Electronic Engineering
- Bachelor Thesis, Internship, Lab Practice, Master Thesis, Semester Project, Summer School
| Controllable Text Generation (CTG) refers to the ability to guide or influence the output of a generative language model to meet specific requirements or constraints. When integrated with Automatic Text Simplification (ATS), these constraints typically include compression ratio (the length of the simplified text divided by the length of the original text), lexical complexity, semantic similarity, and syntactic richness. By utilizing parallel complex-simple text pairs, ATS systems can be trained to generate simplifications that adhere to these specified requirements. - Text Processing
- Master Thesis
| Automatic Text Simplification (ATS) is a process that transforms linguistically complex text into a simpler version while preserving its original meaning. This transformation is crucial for making textual content accessible to specific populations, such as individuals with cognitive impairments. The core of ATS involves using a transformation function ๐, which maps an original text ๐ to its simplified version, ๐โฒ. This function aims to maximize a user-specific utility function, predominantly focusing on enhancing information accessibility. - Image Processing, Text Processing
- Master Thesis
| Background: Topology is vital in medical image segmentation, emphasizing anatomically correct structures & removing incorrect ones. Previous works [1-3] explored how to enforce topological constraints, however, are applied only at training. Recent diffusion-based models [4, 5] offer a novel way to enforce topological constraints during inference.
MSc Thesis: First, you will develop a diffusion model for segmentation. Next, you will be devising a novel way to integrate topological constraints in the diffusion model. Importantly, we aim to publish the results of this work with you at a high-impact conference or journal. - Artificial Intelligence and Signal and Image Processing, Electrical and Electronic Engineering, Interdisciplinary Engineering, Mathematical Sciences
- Master Thesis
| In this project, we are going to develop a vision-based reinforcement learning policy for drone navigation in dynamic environments. The policy should adapt to two potentially conflicting navigation objectives: maximizing the visibility of a visual object as a perceptual constraint and obstacle avoidance to ensure safe flight. - Engineering and Technology
- Master Thesis
| Recent research has demonstrated significant success in integrating foundational models with robotic systems. In this project, we aim to investigate how these foundational models can enhance the vision-based navigation of UAVs. The drone will utilize learned semantic relationships from extensive world-scale data to actively explore and navigate through unfamiliar environments. While previous research primarily focused on ground-based robots, our project seeks to explore the potential of integrating foundational models with aerial robots to enhance agility and flexibility. - Engineering and Technology
- Master Thesis, Semester Project
| This project aims at developing a machine learning approach (for example, using convolutional neural networks) for localizing and tracking anatomical landmarks from cardiac MR images. - Biomedical Engineering, Electrical and Electronic Engineering
- Master Thesis
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