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100%, Zurich, fixed-term The Frazzoli group at the Institute for Dynamic Systems and Control (IDSC), Department of Mechanical and Process Engineering (D-MAVT) is looking for a Ph.D. student in the
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include low energy-consuming electric-field-controllable non-volatile memory elements with high information density. The recent progress in controlling the electrostatic and elastic boundary conditions in
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of the art integrated photonics and RF control. Job description The project aims at conducting experiments for cavity quantum optomechanics with levitated nanoparticles. In this context, you will be involved
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are critical for human performance, with respiratory control and function of respiratory muscles playing a central role. This is particularly evident in patients with pulmonary, cardiac, or neuromuscular
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approach for defect control in metal-assisted chemical etching (MacEtch) of silicon. The ultimate goal is to create high aspect ratio absorption gratings for X-ray grating-based interferometry, used in
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Frameworks (COFs) with magnetic structures for targeted drug delivery, ensure biodegradability and precise magnetic control, and perform comprehensive in vitro and ex vivo studies to assess drug encapsulation
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discipline Knowledge of causal inference methods and/or machine learning Strong command of R (required) and/or Python (desirable) Working knowledge of or interest in learning NLP methods (especially