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candidates should have a strong background in computer science, parallel computing, compilers, performance optimisation, and high-performance computer systems. Excellent knowledge of C and C++ is
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, clinicians… You have experience in medical image analysis and processing, computational modelling, AI/machine learning, and scientific software development You have experience in technology transfer
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applications You have good programming skills for image processing, image analysis and/or hardware control. You are eager to learn, can work independently and have a creative and solution-driven mindset
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enjoy hands-on experimental work (electronics, signal processing, Python) and are not afraid of a bit of analytical theory. Experience with MEMS, lock-in detection, or FPGAs is a plus. You communicate
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-develop the necessary tools and platforms for exchange. Experience with climate modeling and the processing of climate model data, climate attribution and climate projections, as well as with
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focus of the group (www.macro.ethz.ch/) includes the development of: (i) rational design of dynamic polymer networks; (ii) (bio)material processing; (iii) organ perfusion and regeneration; (iv) tools
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. The recent focus of the group (www.macro.ethz.ch/) includes the development of: (i) rational design of dynamic polymer networks; (ii) (bio)material processing; (iii) organ perfusion and regeneration
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relevant sensing modality (e.g. tactile, force, or optical sensing), and comfort working across electronics, mechanical design, fabrication, and signal processing A track record of peer-reviewed publications
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: Optical spectroscopy or microscopy Time-resolved or single-particle measurements Electron microscopy Image processing, three-dimensional reconstruction, or single-particle analysis Semiconductor