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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 2 months ago
coding and information theory: designing and analysing error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will
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. Improving our ability to image and monitor the subsurface is essential for applications in infrastructure management, environmental monitoring, climate adaptation, and sustainable urban development
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looking for a challenging PhD position? Develop new methods for reliable and explainable detection of image, video and audio manipulation in DeepFake videos to contribute to trustworthiness of image
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willing to build in-situ optical sensing platform. You have good coding and analysis skills, and are willing to develop modelling skills towards neuromorphic computing. You have are comfortable with organic
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; Knowledge on handling large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into
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, public services, and guarantees of rights — and where they turn to repression instead. GRID combines a new cross-national dataset coding governments’ de jure and de facto responses since 1989 (built
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numerical groundwater modelling, including the use of coding (e.g. Python) and incorporation of geohydrological schematizations; The ability to work independently and take initiative, with good
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, you should have: Experience in modelling of sediment transport Coding experience; A willingness to contribute to team goals; A flair for written, graphical, and oral communication; And above all
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. Furthermore, you should have: Experience in experiments with water and/or sediment Coding experience A willingness to contribute to team goals A flair for written, graphical, and oral communication
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upgraded laser induced contamination characterization setup Assembly and commissioning of an optoelectronics test bench for the characterization of scientific digital CMOS image sensors Calibrate and