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the central nervous system, requires adaptive computing systems that are not only able to receive biologically encoded inputs but also to process these locally. Due to the intrinsic ionic-electronic coupling
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Physics, preferably with a background on structural dynamic behavior and/or control systems. You should have experience with the combination of numerical modelling and measurements. Fluent in spoken and
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requirements MSc degree in Engineering Sciences or Applied Physics, preferably involving fluid flow and acoustics. Experience with numerical modelling and measurements. Fluent in spoken and written English (C1
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promise substantial improvement opportunities. You will find effective methods to process noisy, not always fully reliable sensor data, that may not always be available, including RF sensing, in order to
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performance and tracking various health parameters. However, collecting sweat from the skin for analysis within wearable sensing devices presents a significant challenge. This process is crucial before
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of the relevant challenges in communication and sensing systems. The group expertise spans from the fundamentals and physics of photonics, optics, the design and fabrication of photonic integrated circuits (PICs
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iterative process. In this project we will develop fast direct design methods for 3D optical systems with scattering surfaces. Job requirements We are looking for talented, enthusiastic PhD candidates who
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, and scientific computing. Moreover, it has deep ties with physics and technology with a promise to improve how optical elements are designed in industry, and how optimal transport problems are solved in
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annual vacation pay of 8%. High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process
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own learning process . An excellent technical infrastructure, on-campus children's day care and sports facilities. An allowance for commuting, working from home and internet costs. A Staff Immigration