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of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy
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knowledge into machine learning models to uncover mechanisms controlling plant resilience. The ultimate goal is to connect these findings with simulation models to predict how plants respond to environmental
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Challenge: Realize the potential of quantum technologies Change: Develop quantum sensors using levitated systems Impact: Improve mechanical sensors and deepen our understanding of gravity Quantum
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Graduate School which provides a Doctoral Education Programme aimed at developing transferable, discipline-related and research skills. There is a strong emphasis to drive the project in the direction
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My group is interested in biological signal processing, especially in the context of chemical stimuli in gene regulation and development on the one, and macroscopic stimuli (light, touch
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Our main goal is to unlock ultrasound imaging inside organs that are still inaccessible to existing clinical ultrasound scanners, in particular bones and the adult human brain. Our ambition is to
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frequently lead to chronic autoimmune responses causing severe joint and cartilage damage. A timely recognition of rheumatic diseases in all its subtypes is therefore essential. Ongoing work: In close
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history of use in this field and their central role in alcoholic fermentation, Saccharomyces cerevisiae is considered a model organism. S. cerevisiae is also used to produce biomass, single-cell protein
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Do you want to understand how life works at the molecular scale by helping us study and design methods for deforming and dividing synthetic cells? Living cells are highly complex systems made
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Unravel a new mechanism for tuning the microstructure of colloidal gels, and unlock new applications in sustainable products and processes. A PhD position is currently available in the Garbin lab