Diaxxo (diaxxo.com) is a start-up originated at ETH Zürich, where in the past 4 years we have
developed and prototyped an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Our
vision is to bring the power of molecular diagnostics to every doctor’s office, thanks to our new
pre-loaded PCR test kits that allow for simpler and faster sample preparation steps. In 2020 our
devices have been used by more than 250 laypeople for the rapid detection of COVID-19 in a field
study that we run at ETH Zürich, and our systems are currently being tested at the Swiss Tropical and
Public Health Institute (Swiss TPH). - Biology
- Bachelor Thesis, Master Thesis, Semester Project
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Diaxxo (diaxxo.com) is a start-up originated at ETH Zürich, where in the past 4 years we have
developed and prototyped an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Our
vision is to bring the power of molecular diagnostics to every doctor’s office, thanks to our new
pre-loaded PCR test kits that allow for simpler and faster sample preparation steps. In 2020 our
devices have been used by more than 250 laypeople for the rapid detection of COVID-19 in a field
study that we run at ETH Zürich, and our systems are currently being tested at the Swiss Tropical and
Public Health Institute (Swiss TPH). - Engineering and Technology
- Master Thesis, Semester Project, Student Assistant / HiWi
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Following trauma or due to degeneration it can be necessary to replace one or more intervertebral discs with an implant, a so-called Total Disc Replacement (TDR). Such devices enable motion though surfaces articulating against each other. While this treatment is clinically successful, it is connected to considerable complication and reoperation rates. Therefore, we are optimizing the design of such an implant to address these issues.
While many different designs and design types have been proposed and are used in clinical practice, there is no consensus on what design or design type is the most beneficial. However, it is hypothesized, that replicating the situation that is present in healthy (asymptomatic) subjects as closely as possible, is optimal. Since the motions of the cervical spine are coupled (coupling of rotation and translation as well as multiple rotations) the optimal design of the articulating surfaces is not obvious. Therefore, this master’s thesis project aims at designing the implants articulating surfaces using parametric design optimization in LS-OPT based on finite element simulations. - Engineering and Technology
- Master Thesis
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The focus of this project is on the fabrication of microelectrodes for advanced neural interfaces in a cutting-edge cleanroom environment. Our research aims to develop high-resolution neural probes utilizing state-of-the-art microfabrication techniques. - Biomedical Engineering, Biosensor Technologies, Mechanical Engineering, Nanotechnology
- Master Thesis, Semester Project
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This project focuses on the design of low-noise, low-power, compact amplifiers for next-generation neural interfaces. - Electrical and Electronic Engineering
- Master Thesis, Semester Project
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Time-series data is increasingly prevalent across various domains, including finance, healthcare, and environmental monitoring. The ability to extract meaningful information from time-series data is crucial for prediction, classification, and anomaly detection. This project focuses on exploring different time-series representations and their impact on machine learning tasks. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
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Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
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Reaching and grasping an object of interest is a relatively simple
task that can be achieved robustly in case the object is equipped
with a simple handle and a visual marker. However, often the difficulty in the task originates from the rest of the environment.
The object may be placed in cluttered spaces with diverse obstacles
as well as dynamic entities, e.g. humans, other robots. As a result,
executing the task of reaching and grasping the object necessitates
collision-free motion control capabilities. - Intelligent Robotics, Robotics and Mechatronics
- Master Thesis, Semester Project
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This master thesis aims to establish a comprehensive baseline for the LIB recycling industry, evaluating CO2 emissions and associated costs. Based on literature reviews and expert interviews you can build techno-economic analyses and conduct life-cycle assessments using Python. These will inform the development of low-carbon scenarios to enhance the sustainability of battery technologies. Join our dynamic and interdisciplinary research group to contribute to critical advancements in environmental and economic aspects of LIB recycling. - Environmental Engineering Modelling, Industrial Engineering, Innovation and Technology Management, Research, Science and Technology Policy
- Master Thesis
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Background:
The Laboratory of Orthopedic Technology has recently developed a novel joint implant and is undergoing optimization of the manufacturing process. We are looking for a master's student who is passionate about medical devices and mechanical design to join us for a semester project.
Objectives:
• Design different molds for material casting using SolidWorks or Fusion 360.
• Optimize implant using matlab or Python.
• Utilize 3D printing or laser cutting to create the molds.
• Conduct mechanical tests on the implants.
Your Profile:
• Strong knowledge in mechanical design and drawing skills.
• Hands-on and detail-oriented.
• Experience with SolidWorks or Fusion 360, as well as Python or Matlab.
Timeframe:
Starting ASAP until the end of September.
- CAD/CAM Systems, Flexible Manufacturing Systems, Mechanical Engineering, Polymers
- ETH Zurich (ETHZ), Semester Project
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