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count. Characterisation of amplifiers developed specifically for data distribution, and investigation of energy efficiency. The candidate should have a master’s degree, or similar, in physics, optical
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systems today are very reliable, with only very few and far apart catastrophic events leading to black-out. When it does happen, the power system requires restoration. Restoration refers to the process of
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or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with documented experience in analysing, interpreting bulk and single-cell sequencing datasets. Prior experience with data
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physical simulations and machine learning techniques, you will investigate the ability of surrogate models to determine large wind farms’ efficiency and wake characteristics, as well as the wake model
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into the developed process. The candidate will work closely with several postdocs on the project. The ideal candidate has a background in polymer processing, with some experience in 3D printing and polymer
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process flows. Fabricate these in the DTU Nanolab cleanroom. Characterize the transducers both electrically and acoustically. Build experimental setups. Publish your results in scientific journals
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the Management Science Division, the research ranges from mathematical-based optimization models to process-oriented management models and is used in basically every sector, such as transport, energy
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intake, physical activity, and well-being) analyzing data writing scientific papers participating in European meetings in the HealthyW8 project We expect that you have a background in life science, health
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, repeatability, and uncertainty. You will: Handle precision measurement equipment such as laser vibrometers, miniature accelerometers, actuators, measurement microphones, and impedance tubes; Process measurement
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arisen as one of the key factors towards the degradation of the quality of life in European societies. In that context, efficient physics-based sound modelling is a key enabler towards not only optimized