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Join TU Delft and work together with NXP to build low-power AI accelerators for self-healing analog/RF calibration, fixing noise/offset. Co-design algorithms & hardware and validate on real silicon
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environments can lead to enhanced corrosion and MIC in particular. Perform SAF laboratory experiments with representative materials in combination with in-situ electrochemistry, e.g. electrochemical noise and
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experiments with representative materials in combination with in-situ electrochemistry, e.g. electrochemical noise and surface analysis, e.g. SEM/EDX. Variables include: Micro-organism(s) Environment (sediment
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technologies such as navigation, positioning, and force sensing, while also enabling fundamental research into questions like the quantum nature of gravity. To bring these vibrating systems into the quantum
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in Random Media’. The PhD position focuses on the dynamical behaviour of stochastic partial differential equations (SPDEs). In particular, we will consider the impact that noise terms have on patterns
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Interested in working on a the future of optical inertial sensing for mechatronic vibration control? Join our team! Job description The CHiPS (Compact High-Precision Sensors) project aims
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`Patterns in Random Media’. The PhD position focuses on the dynamical behaviour of stochastic partial differential equations (SPDEs). In particular, we will consider the impact that noise terms have on
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like the quantum nature of gravity. To bring these vibrating systems into the quantum regime, they must be isolated from their environment. One powerful approach is to levitate them in vacuum with
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dynamics and /or random vibrations and computational design. Good programming skills with experience in reduced-order modelling techniques and data-driven symbolic regression tools is a plus. TU Delft (Delft
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qualifications: MSc university degree in physics, mechanical engineering, or mathematics. High motivation for teamwork and good communication skills. Experience in nonlinear dynamics and /or random vibrations and