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predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
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and SQUID), EEG and Eye Tracker data. - Analysis of the data collected, especially MEEG and behaviorals. - Compare the alignment between MEEG data, behavioral data, and acustic and semantic models
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will use the poroelasticity models developed in the M3DISIM team
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) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack
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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
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models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
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state of art of frequency-dependent model of winding in electrical machines • task 2: the aim of the second task is to propose simplified models, derived from the detailed models typically used
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. Ca in Ol1), and the use of dihedral angles in solidified plutonic rocks. A key objective will be to improve current approaches to quantify those cooling rates by providing 1/ a finite difference model
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the cross-fertilization of research and teaching, is relevant to her country, is known worldwide for her research and teaching in targeted areas, and becomes an innovative model for contemporary European
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The candidate will be required to carry out the following activities: -Development of analytical and theoretical models applied to wing profiles in free or forced motion, -Constrained optimisation of trajectories