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 OpportunitiesPerform knowledge distillation from Transformers to more energy-efficient neural network architectures for Event-based Vision. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis
| Explore novel ideas for low-cost but stable training of Neural Networks. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| The resolution of clinical CT images is not sufficient to characterize the complex network of trabecular bone. The student will develop a Super Resolution pipeline to enhance CT images and enable a characterization of the microarchitecture of human bone. - Biomechanical Engineering, Image Processing, Materials Engineering, Mechanical Engineering, Medical Physics
- ETH Zurich (ETHZ), Master Thesis
| Funded by the Swiss National Science Foundation under the Spark program, the project titled “Triage against the Machine: Can Artificial Intelligence Reason Deliberatively?”, aims to assess AI’s ability to perform deliberative reasoning in alignment with human standards, using large language models (LLMs) and the Deliberative Reason Index (DRI). We seek a technically skilled person to help build infrastructure that will support the collection, analysis, and management of large-scale data as well as ensure the security and quality of data handling. - Computer Perception, Memory and Attention, Computer Software, Computer Vision, Computer-Human Interaction
- Student Assistant / HiWi
| fNIRS is rapidly gaining popularity due to its versatility and non-invasiveness. It is now recognized that
preprocessing choices, such as motion artifacts methods and parameter settings, can significantly
affect fNIRS results, potentially altering the accuracy of brain activity measurements. This is where your contribution will make a difference. Proper fNIRS data preprocessing is crucial for accurate brain research. Variations in methods can introduce inconsistencies in results and affect the reliability of study outcomes. - Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| In an ongoing project, the BORL investigates the influence of everyday factors (e.g. breathing, posture, exercise, time of day/year, age, weight, room temperature, room lighting, food intake) by themselves on the systemic physiology and the brain, and ii) to study how these factors influence the measurement of brain activity. Optical neuroimaging with fNIRS is rapidly gaining popularity in neuroscience. It measures brain activity by determining the changes in hemodynamics and oxygenation elicited by neurovascular coupling (NVC). In previous studies, it had been assumed that the measured changes relate only to neuronal activity. Now it has been shown that neuronal activity and NVC interact with systemic physiology. Therefore, it is to be expected, and in part has been demonstrated, that daily factors influence the relationship between systemic physiology and NVC. The project is hosted by Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University of Zurich. Join the cutting-edge systemic physiology augmented functional near-infrared spectroscopy research with BORL The lab is equipped with everything needed to conduct measurements. We are an interdisciplinary team with a great spirit that offers you an exciting environment. You will learn how to acquire fNIRS and physiological data, how to analyze and interpret them. - Behavioural and Cognitive Sciences, Engineering and Technology, Medical and Health Sciences, Physics
- Internship, Master Thesis, Semester Project
| Scanning ion conductance microscopy (SICM) is the non-contact SPM technology to image live cells based on glass capillaries with a nanometric aperture. It applies a voltage and measures the ionic current flowing through the pipette above the sample in the buffer solution: the recorded current represents the feedback signal to measure the topography of the sample. In collaboration with Prof. Fantner at EPFL, this project aims to assemble a state of the art high-speed SICM to enable time-resolved live cell imaging. - Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Nanotechnology, Signal Processing
- ETH Zurich (ETHZ), Master Thesis
| Pemphigus vulgaris (PV) is a unique group of autoimmune diseases. Researches have demonstrated that antibody-induced disruption of Dsg3 transadhesion initiates a signaling response in basal keratinocytes followed by loss of tissue integrity. The complexity of morphogenesis and tissue regeneration implies the existence of a transcellular communication network in which individual cells sense the environment and coordinate their biological activity in time and space.
To understand the fascinating ability of tissue self-organization, comprehensive study of biophysical properties (cell topography and bioelectricity) in combination with the analysis of biochemical networks (signaling pathways and genetic circuits) is required.
Together with the University of Bern and University of Lübeck, we aim to utilize the tools to study the topography and electrophysiology (cell potential, ion channel recording, localized ion detection, charges) of HPEK cells (human primary keratinocytes cells) to unravel the signaling pathways of the disease. We utilize optical imaging (fluorescence dyes) and biosensing tools (including the state of the art hs-SICM and electrical FluidFM setup) to study HPEK cells upon desmosome disruption.
- Biology, Biomedical Engineering, Chemistry, Electrical and Electronic Engineering, Interdisciplinary Engineering, Medical and Health Sciences
- Bachelor Thesis, Lab Practice, Master Thesis, Semester Project, Summer School
| Stroke is a leading disease in the elderly, resulting in a considerable burden on patients and healthcare systems. Rehabilitation aims to reduce consequential damage and restore patients' quality of life, but its effectiveness varies from person to person. Rehabilitation can be understood as a learning process where patients have to relearn and train physiological movement patterns, for example. Sleep plays a role that has long been underestimated in this context: while we sleep, memory content is reorganized and restructured in the brain for long-term storage. Studies have shown that phase-targeted auditory stimulation (PTAS) can improve memory consolidation during sleep. Thanks to mobile applications, this method can now also be used in a clinical setting. We want to use this as part of the “StimuLOOP” study to support stroke patients in their rehabilitation.
You will be supervised by Prof. Dr. Reto Huber, Child Development Centre/ Sleep Research, University Children's Hospital Zurich, Switzerland. - Cognitive Science, Learning, Memory, Cognition and Language, Neurosciences
- Master Thesis, Semester Project
| Study the application of Long Sequence Modeling techniques within Reinforcement Learning (RL) to improve autonomous drone racing capabilities. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis
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