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“Next Generation Spatial AI” , that runs 2026-2031 as a joint project between Lund and Linköping, see ELLIIT . In this project, we will explore new methods for 3D modelling and sensor position estimation
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symmetries, and to formulate approximate theories and numerical methods that preserve conservation laws. -Examine the potential for these theories to be of use for the studies of waves, instabilities, multi
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the same admissions platform. Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills
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with specialization in cognitive science, psychological methods or a related discipline. Extensive experience coding in R and Python (or related computer programming languages). Excellent written and
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numerical modeling using CFD and FEM techniques, the use of generative CAD tools and shape optimization methods, as well as the integration of experimental and structural measurements with simulation data
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about being a doctoral student at LTH on lth.se . Subject and project description The research area for the current call is computer vision and machine learning, with a focus on methods for three
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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Toward Scalable and Sustainable AI Across Heterogeneous Resources Supervisor: Frédéric Giroire, CNRS Director of Research, 3IA chair holder. https://www-sop.inria.fr/members/Frederic.Giroire
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project description The research subject is applied mathematics. The project focuses on computer vision and machine learning, with a particular emphasis on deep learning methods for medical image analysis
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resonance imaging data among other imaging modalities, machine learning methods for prediction, treatment effect estimation, and contribute to understanding brain biomarkers of Alzheimer’s disease and their