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compare the patterns modeled, and demonstrated the relevance of these approaches by integrating them in a brain morphometric method based on machine learning [3]. Recently, we started to explore
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Research Project: Implementation of Machine Learning techniques to optimize laser-plasma accelerators experimentally and numerically for industrial and medical applications. Since the first
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, integrating machine learning and physiological computational models (patient digital twin) to: 1) combine physiological knowledge and clinical data; 2) improve model interpretability; and 3) minimize
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optics, biophotonics spectroscopy and imaging, instrumentation - Numerical signal/data processing and analysis (MATLAB) - Machine learning - Light-tissue interaction modelling - Very good level in English
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research colleagues, and to learn about the larger context of my research and the research project. Offer: The aim of this PhD research is to optimize acoustic metasurfaces of finite size using machine
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Learning for Quantum" project Machine Learning for Quantum is a coordinated doctoral training network to explore how ideas and techniques from machine learning and quantum can feed into and benefit the other
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output databases; deployment of methods and tools for data acquisition and visualization; ** AI/Machine Learning/Deep learning techniques for model input and output data analysis and production, in
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related to staff position within a Research Infrastructure? No Offer Description [Technical] Assist the team with computer resources (access to clusters, and scaling machine learning programs), [Technical
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the influence of manufacturing parameters on electrode properties. The candidate will also use machine learning and deep learning approaches to process data from numerical calculations. The results obtained will
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virulence factors by using integrative structural biology approaches enhanced with machine learning methods. Such interactome has been previously addressed for the M1 protein, the most important GAS antigen