68 postdoctoral-signal-processing PhD positions at Technical University of Denmark in Denmark
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the nonlinear interference using energy-efficient signal processing based solutions. The overall goal will be to maximize the information rate and the transmission distance given the energy-consumption constraint
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machine learning to analyse decision-making using diverse data sources, including physiological process data from immersive virtual reality experiments? Do you want to apply cutting-edge modelling and data
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“Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than
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and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 31 May 2025 (23:59 Danish time). Applications must be submitted as one PDF file
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questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 10 April 2025 (23:59 Danish
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to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be
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biologics development. About the position The purpose of this project is to optimize the process of binder design through closed-loop optimization, emphasizing the efficient achievement of high-affinity and
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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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advanced materials. Experienced in both strain development and related modelling & data analysis. Experienced with processes of biomanufacturing, including fermentation, downstream processes and scale-up
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), robotics and computing, construction production processes, and life cycle and sustainability analysis (LCA). The successful candidate will be responsible for conducting cutting-edge research in the field