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Greenhouse gas emissions from agriculture are an important driver of global climate change. There are many national policies and regulations worldwide to mitigate these emissions but in many cases, we know little about their effectiveness. This thesis aims at filling this important knowledge gap. - Crop and Pasture Production, Environmental Management and Rehabilitation, Natural Resource Management
- Master Thesis
| We would like to fabricate different 3D microrobots in the micrometer scale with a brand new material: COF (covalent organic framework). No one in the world has worked on this specific area before. The project is aiming for a journal paper. - Biology, Chemistry, Engineering and Technology, Medical and Health Sciences
- Master Thesis
| The aim of this thesis is to understand and compare recent trends in replicability in agricultural economics journals. - Agricultural, Veterinary and Environmental Sciences, Economics, Information, Computing and Communication Sciences
- ETH Organization's Labels (ETHZ), Master Thesis
| Within this project, you will be engaged in developing and evaluating the use of an industry-leading peripheral visual display for real-time movement feedback in Stroke patients. Stroke is currently one of the leading causes of disability world-wide, with an incidence of 1.1 million strokes per year in Europe. Around 80% of stroke survivors are left with a movement deficit that frequently persists following in-patient rehabilitation. Multiple studies have demonstrated untapped recovery potential in chronic stroke patients that can be unlocked by long-term, continuous rehabilitation. These programs are however costly to finance and place a large time burden on the patients who are in a critical phase of adaptation to their changed life circumstances. A possible solution to this dilemma are mobile training devices, that afford a patient feedback over his movement quality continuously throughout the day in an unobtrusive manner. At cereneo Foundation, we are currently investigating the feasibility and usability of haptic and peripheral visual displays to provide movement feedback. Your role will be to design and implement an android-based visual feedback system for sensor-derived movement quality metrics. The system will be developed within an iterative design process centered around usability in a clinical environment. - 3.3 Health Sciences
- Semester project
| A semester project for engineers and data scientists with an interest in having an impact in the medical domain. You will design an automated counting solution for repetitions of arm therapy exercises for stroke patients to better document the volume of therapy that each patient receives. - 2.2 Electrical- , Electronic-, Information Engineering, 2.3 Mechanical Engineering, 2.6 Medical Engineering, 3.3 Health Sciences, 3.4 Health biotechnology
- Semester project
| Single molecule magnets (SMMs) exhibit nanometric size and long magnetic relaxation times which can reach timescales of months at low temperatures. These fascinating properties make them interesting candidates for future data storage and computational devices. - Condensed Matter Physics-Electronic and Magnetic Properties; Superconductivity, Condensed Matter Physics-Structural Properties
- Internship, Master Thesis, Semester Project
| Molecular nanomagnets are attractive candidates as building blocks for future spintronics applications. - Condensed Matter Physics-Electronic and Magnetic Properties; Superconductivity, Condensed Matter Physics-Structural Properties
- Collaboration, Internship, Master Thesis, Semester Project
| You will explore the possibility for personalized in-car services of the future. Recently, we collected a unique dataset, consisting of recorded driving behavior in the wild. In the term of your master thesis, you will focus on finding patterns within this dataset to identify driver states. - Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Master Thesis
| This research focuses on implementing real time fMRI neurofeedback (rtfMRI-nf) with the aim of
improving attention performances based on neuroimaging, EEG and behavioral properties of conscious vs. unconscious inhibitory network. These properties will be extracted for individual participants using EEG-fMRI and subliminal vs. supraliminal Go/Nogo (GNG) task. Therefore, the work consisted of theoretical and experimental studies with 60 healthy participants.
- Biomedical Engineering, Neurosciences, Psychology
- Internship, Master Thesis, Semester Project
| An inevitable consequence of the global power system transition towards a nearly 100% renewable-based grid is the replacement of bulk synchronous generators with renewable energy-driven converter interfaced generation. - Engineering and Technology
- Master Thesis
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