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Field
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, Information and Algorithms Cluster (GAIA). Shared services within the Administrative and Financial Cluster and the Technical Cluster support the research. GIPSA-lab has approximately 350 employees, including
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, implementation and evaluation of BIOMASS Forest Disturbance products Contribute to the algorithm design and testing of new approaches for detecting and quantifying forest disturbances (e.g. deforestation
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analysis. Methods and algorithms including visualisation and reporting tools. Geotechnical, structural and mechanical characterisation of rock from drilling signals. Calibration and interpretation on rock
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data
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, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation