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the detection of zero-day vulnerabilities, and (2) enable continuous cybersecurity assessment of software. More specifically, the project will investigate the use of multimodal large language models and fuzzing
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engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data Research Associate Role: Under the direction of their supervisor, the candidate
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models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data. The applicant should be a creative and motivated researcher
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biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages skills: fluent command
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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-degenerative diseases. Our data comes from large public cohorts as well as local proprietary databases of clinical and preclinical medical images, including Positron Emission Tomography, temporal multi-modal MRI
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verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Quantum Information Networks, Spectrum Management and Coexistence, Tactile Internet, Earth
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will be working on developing multi-scale and multi-modal models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data