173 computational-physics "https:" "https:" "https:" "https:" "U.S" "U.S" positions at ETH Zurich
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body of work that already expresses crucial inquiries in light, matter, perception, and physical phenomena "and" is truly experimental. Building on the artist researcher's standing, she/he/they would
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meta-optics have led to an advanced control over light-matter interaction, greatly contributing to different research directions including imaging, nonlinear optics, biosensing and photonic computing
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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of this position are (1) to manage the fabrication and characterization of ultrasound-sensitive drug carriers, (2) improving the manufacturing process and (3) establish the delivery of biologics such as RNA
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100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger
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100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger
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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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. Neuromorphic computing and ML deployment on digital and neuromorphic processors TinyML and EdgeAI and ultra-low-power inference for resource-constrained systems Techniques such as quantization, pruning