Search for public opportunitiesRegister now and browse all open positions. It's free!Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! Notify me when new projects of my interest are advertized!You define what you are interested in and we will send you an Email when a new project matches your criteria, it's that easy. You define what you are interested in and we will send you an Email when a new project matches your criteria, it's that easy. Results |
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You 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
| Fully Funded PhD Scholarship (Fall 2024/Spring 2025) at Nanyang Technological University, Singapore: AI for Drug Discovery and Multi-Modal Large Language Models in Medicine - Artificial Intelligence and Signal and Image Processing, Computational Biology and Bioinformatics, Knowledge Representation and Machine Learning
- PhD Placement
| Materials made with fungal mycelium have recently gained popularity as novel material in various industries, among others to produce meat analogues. So far, we successfully devised a straightforward technique for producing foamed hydrogel scaffolds that facilitate the growth of fungal mycelium.
Our next objective involves refining the design of the 3D food matrix to serve as a host material, allowing us to guide the growth of mycelium and create an anisotropic material with fibrous texture similar to meat fibers. This will be achieved by employing a variety of triggers known to influence the direction of fungal mycelial growth. - Biomaterials, Biotechnology, Industrial Biotechnology and Food Sciences, Mycology, Other
- ETH Zurich (ETHZ), Master Thesis
| The stochastic diffusion equations ruling the dynamics of particles at the micro- and nano- scale are captured by energy-minimizing dynamics when observed macroscopically, i.e., at a population level. This framework encompasses, for instance, single cells perturbation responses to chemical, genetic or mechanical stimuli, gene expression and cell differentiation.
Recent advances in the theory of optimal transport and optimization in the Wasserstein space have created unprecedented opportunities to tackle these and other problems at scale. This active research area provides an excellent playground for exploring advanced mathematical concepts, deploying sophisticated learning and optimization algorithms, and solving open problems in biology, medicine, and various other fields.
The project can be both theoretical and applied, and can include topics on optimization, optimal transport, deep learning, and biology. The project can be tailored to the preferences and experiences of the student. - Artificial Intelligence and Signal and Image Processing, Biomaterials, Calculus of Variations and Control Theory, Optimisation, Physical Chemistry
- Master Thesis, Semester Project
| Wind turbines operate in the first few hundred metres above ground level. In this area, the wind is turbulent and gusty, generating unsteady aerodynamic forces that cause premature structural damage and reduced performance. A better understanding of unsteady turbulent flows over aerofoils would help to improve the estimation of the dynamic forces.
The MISTERY project involves an interdisciplinary team of researchers in aerodynamics, machine learning and electronics, from ETHZ and OST in Switzerland, and CentraleSupélec and Centrale Nantes in France. The team investigates the impact of turbulence on aerodynamic performance of wind turbine blades. To achieve this, we study the aerodynamics of a 1:1 scale of a section of a wind turbine blade in a large wind tunnel (4m x 5m with wind speeds up to 50m/s) in Nantes (figure 1). The blade is instrumented with over 300 pressure sensors and the flow is visualised with PIV. These measurements will create a large open database that will be used to develop models for flow control of for structural health monitoring.
- Aerodynamics, Mechanical Engineering
- Collaboration, ETH Zurich (ETHZ), Master Thesis
| We are seeking two passionate PhD candidates to join our research team dedicated to advancing electrochemical energy storage technologies using computational high-throughput and first-principles-based calculations. With a focus on Na-ion batteries, the project aims to tackle the pressing need for cost-effective and sustainable energy storage solutions in light of escalating global energy demands and climate concerns. Na-ion batteries offer a promising alternative to Li-ion batteries, leveraging the abundance of Na resources to drive innovation towards a cleaner and more sustainable energy future. Join us in this research endeavor aimed at shaping the next generation of energy storage technology and contributing to the transition towards a carbon-neutral society. - Theoretical and Condensed Matter Physics
- PhD Placement
| This project focuses on developing robust reinforcement learning controllers for agile drone navigation using adaptive curricula. Commonly, these controllers are trained with a static, pre-defined curriculum. The goal is to develop a dynamic, adaptive curriculum that evolves online based on the agents' performance to increase the robustness of the controllers. - Engineering and Technology
- Master Thesis, Semester Project
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