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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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and networking platform to support the development and application of Earth system, weather, and climate modeling, data infrastructure, and impact research. Project background There is an ever
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background Our group builds high-throughput experimental platforms that require the development of novel computational methods. Two example areas in which the candidate would contribute are described below. 1
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now be adopted for secretion recombinantly synthesized proteins for the first time. Job description The PhD-Student will perform the following tasks: Development of high throughput assays, typically
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technology development. The lab combines cutting-edge methods such as functional two-photon microscopy, high-density neuropixels electrophysiology and spatial biology research, alongside computational analyses
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within the chair and other groups to develop investigations and public dissemination of work Take constructive direction and guidance for research development while bringing independent ideas and
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to commercial-grade systems, we are seeking a visionary Lead Architect to drive the design and development of the V2.0 system. This role is critical for establishing technical novelty, securing a new IP portfolio
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development of innovative acquisition and processing techniques to study the Earth’s shallow subsurface. Project background Switzerland has committed to achieving net-zero greenhouse gas emissions by 2050. CCS
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interdisciplinary study programmes. Candidates with background in biology, bioengineering, biotechnology or microbiology with experiences in method and technology development are welcome to apply as well
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or microbiology, with a strong interest in technology development, are welcome to apply as well. The combination of biological and technological aspects is central in our group and in this project. A possible