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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about the intersection of computational science, machine learning
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methods of detection, identification, classification and tracking of objects of different sizes, shapes and speeds of movement using elements of artificial intelligence and machine learning. • Research work
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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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qualitative (elite interviews, focus groups, comparative case studies, archival work…) and quantitative (surveys and survey experiments, statistical analyses of time series/cross-sectional data, NLP/machine
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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical
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quantitative methods, data mining, machine learning, and AI applications. Macroeconomic research on monetary policy, financial stability, banking sector dynamics, housing affordability, labor markets (e.g