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Field
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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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. 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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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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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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for spatially resolved single- and sub-cellular omics, and the Smart Trials Hub, which is pioneering patient-centric sampling and digital health integration. This is a full time post (35 hours per week), and you
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hub for spatially resolved single- and sub-cellular omics, and the Smart Trials Hub, which is pioneering patient-centric sampling and digital health integration. We’re looking for someone with strong
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are those defined in point 4. For the purpose of determining the appropriate profile for the activity to be developed, the following are special requirements: a) proven experience in the scientific area of
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-structure interaction of the Maeslant Barrier, combining field modal testing, numerical modelling, and signal processing to capture and interpret its dynamic response under current and future hydraulic and