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of nanomedicines to deliver nucleic acids). Robust methods for nanomedicine characterization and interaction with cells are essential to be able to test new formulations and improve their design and efficacy
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unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases
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or interventions to strengthening infant health. This PhD project aims to investigate specific early bacterial colonizers, their bioactive metabolites, and their beneficial interactions with our naïve immune system
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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on your background, the work will 1) focus on the interaction between microwave design and measurement methods, looking deep into the technological capabilities of GaN, or 2) focus on new methods
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ask: how do brain and body rhythms interact and how do they influence cognition? You will design and run experiments that combine non-invasive brain stimulation (TMS/tACS), EEG, fMRI, and physiological
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of substrate interactions on structural integrity of biomolecules will be part of the research effort. The effort should aim to use precision microfluidic control to discover high-resolution strucutral
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passive and active compensation methods exist, thermal effects must be addressed during early-stage design. This calls for advanced modeling techniques that capture thermo-elastic interactions with high
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. Partnering with Toyota and Demcon TSST, SMIP will showcase this innovation through a self-learning chip prototype, improving performance and durability in automotive applications. Specifically, this PhD
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meetings; participate in the Faculty of Science PhD training program; assist in teaching Bachelor and Master’s students; co-supervise and interact with junior scientists (technicians, MSc/BSc students). What