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Field
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. Your competencies We thus imagine that you: have a strong background in digital signal processing and machine learning; have substantial experience with scientific computing in Python/C++/ROS; know
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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collaborate in the following activities: a) Technical and scientific support for the process of implementing the tool on a digital platform, in coordination with the platform’s development team; b) Conducting
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: digital signal processing, statistics, multimodal processing, FAIR data management, music theory, or musicology Personal skills Strong ability to work purposefully, systematically, and independently Time
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
of analogue and digital circuit technology and digital signal processing Knowledge of magnetic sensors, in particular magnetoresistive sensors is an advantage Knowledge of magnetic flux leakage and eddy current
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combs and their applications in neuromorphic computing and high-speed optical fibre communications. You will also be involved in the design, development and numerical modelling of novel signal processing
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related to staff position within a Research Infrastructure? No Offer Description About us King’s College London is home to the world’s largest Department of Digital Humanities, located within the Faculty
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of the Interview, according to the following levels: Excellent – 5 points; Good – 4 points; Satisfactory – 3 points; Unsatisfactory – 2 points; Poor – 1 point. The final classification of the Interview (INT) will be
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qualifications are a plus: Experience in audio signal processing or speech processing. Experience in condition monitoring or predictive maintenance. Flexibility and self-motivation are desired skills at DTU. In
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migrants and disadvantaged learners through an inclusive digital transformation. You will become part of a diverse and interdisciplinary environment that bridges computer science, pedagogy, and modern