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. To achieve our objectives, we will use cutting-edge technologies (CITE-seq, RNA-seq, Ribo-seq) and combine analysis in readily available relevant cellular models of cancer-experienced T cells, syngeneic mouse
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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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. Preferred experience level is from Thesis+2 to Thesis+9, but all applications will be considered. Two years (1 year renewable). Field: Astrophysics; Data Processing and Model Fitting; Active Galactic Nuclei
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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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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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proposes to combine in situ and remote sensing data, radiative transfer models, and chemical and physical analytical methods to better understand the fundamental properties and the impact of mineral dust
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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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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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) 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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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