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100%, Zurich, fixed-term The goal of this work is to develop novel methods for nonlinear wave manipulation and topologically-protected waveguides, and to demonstrate these methods with acoustic
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at the intersection of data science, neuroscience, and clinical research. Project background This position focuses on spinal cord injury (SCI) and aims to develop data-driven methods to improve clinical trial design
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Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science or statistical methods (data science, computer science, economics, social sciences, etc.) Excellent
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targeting biological pollutants, measurement of disease-related biomarkers, and study of organ-on-a-chip. We develop microfluid, optical and electrochemical methods in combination with microorganisms and
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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fire testing equipment, advanced data acquisition systems, as well as high-performance computing resources for advanced numerical modelling, An intellectually stimulating and supportive environment
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demonstrate these in their application materials Familiarity with numerical methods for PDEs (e.g., finite difference or finite element methods) Experience with tissue simulations and/or HPC is a plus Interest
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using methods such as surveys, qualitative interviews, focus groups, or computational social science approaches Drive innovative research and policy projects on the ethics and governance of digital health
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only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide
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evaporation, magnetron sputtering, spin-coating, photolithography, and plasma etching. Advanced optical and electronic methods will be used for device characterization. In line with our values , ETH Zurich