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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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Additional Information Eligibility criteria PhD in photonics, optics, telecommunications, signal processing or a related scientific or engineering field. * Strong knowledge of photonics and optical
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. Duties/Responsibilities: 1. Data Management, Review, & Analysis (70%) Advanced Neural Signal Processing: Apply quantitative analysis, signal processing, and machine learning methods to high-dimensional EEG
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TRACE scores and mid-year and annual reviews for PhD students and faculty. Manage recruitment activities associated with MS, PlusOne, and PhD applications. Serve as the primary point of contact
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approaches where required. Perform electrical and high-frequency measurements to assess device behaviour, signal characteristics, temporal response, repeatability and device-to-device variability. Acquire and
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language processing that address concrete problems and are both theoretically rigorous and interpretable. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments
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to best practices: ethics, animal experimentation regulations, and current standards. -Data processing and analysis:Cleaning, structuring, and annotating datasets for optimal use. Analyzing raw results and
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of sources and chemical transformations are not yet well represented or tested in large-scale models. The goals of this PhD project will be to better represent these processes in a global 3D model, to test
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join the
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PostdoctoralResearcher in Radio Frequency Fingerprinting using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine