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candidate will work on the Desay SV Transfer Project, focusing on the industrialization of automated open-source component detection and emulation-based fuzz testing technologies for automotive software
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& conduct research on model validation using burning test data Actively participate in the development of a software tool for modelling electric-vehicles (EVs), power-assisted bicycles (PABs) and related
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, patents, and publications. Job Requirements: PhD in Computer Science, Information Security, Engineering, or a related discipline. Research experience in software/system security, fuzz testing, or embedded
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& conduct research on model validation using burning test data Actively participate in the development of a software tool for modelling electric-vehicles (EVs), power-assisted bicycles (PABs) and related
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equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge
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learning and deep learning models for early prediction. The research integrates behavioural and cognitive assessments with neuroimaging and AI, including neuropsychological testing, cognitive tasks
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integrates behavioural and cognitive assessments with neuroimaging and AI, including neuropsychological testing, cognitive tasks, functional Magnetic Resonance Imaging (fMRI), structural MRI, and predictive
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their performance in energy storage devices. Preferably have knowledge in scientific software or materials modelling tools (e.g., Origin, MATLAB, COMSOL, or similar). Collaborate with team members to integrate MOFs
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quality, which finally needs to go for the agricultural application in both lab scale and field testing. Job Requirements: PhD degree in Materials Science, Chemical Engineering, Biology (especially Plant
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and validate a prototype microscope with enhanced sensitivity and contrast, evaluate label‑free and fluorescence imaging modes, and develop robust hardware/software workflows for low‑light measurements