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, this PhD thesis will focus on the characterization of multipolar electrograms (EGM) through graph signal processing (GSP). The underlying hypothesis is that local propagation patterns in AF are associated
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computing; data science; signal processing; neuroengineering; bioinformatics; computational neuroscience. A PhD is not required. Candidates holding a PhD are also eligible, provided that their profile
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their Postgraduate Dean and must still be in training at the time of starting their PhD. Applicants from NMAHPS and all other clinical disciplines must have completed their professional training and at the point
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Location: Central Cambridge We are seeking applications for a PhD position in AI in proteomics as part of the Horizon Europe MSCA Doctoral Network, ProtAIomics. This brings together laboratories
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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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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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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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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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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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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