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methods (e.g., difference-in-differences, instrumental variables, propensity-score methods) and selected machine-learning algorithms. Write reproducible code in Stata, R, SAS, or Python; summarize and
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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intelligence algorithms for online action recognition and user monitoring using smart eyewear. The research will address the problem by leveraging multiple modalities, integrating different sensing sources
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: Pattern and Image Analysis – Lx Work Objectives: - Evaluate and compare different causality discovery algorithms under controlled and realistic conditions. - Develop a robust and interpretable causal model
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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, international students and EU students without Settled Status will need to cover the difference between the home rate and the international. Visas and associated costs are not covered. Closing date: 20th April
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internal simulations, to test different strategies, and use it as a powerful decision-making mechanism. This ability for internal simulation (called mental simulation), especially for movement, is now well
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Switzerland. Develop a prototype hardware implementation of different signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS
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of arrival (TDOA), angle‑of‑arrival (AOA), and frequency‑difference of arrival (FDOA) for RF emitter localization. Develops and implements signal processing algorithms and waveform prototypes using software
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft