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Field
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mixed reality (MR) strategies to blend information derived from machine learning and computer vision processes to the workers' expertise. The objective of this project is to develop and evaluate MR
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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, grants and determine next steps needed to move the research forward. Assist PI with drafting grant proposals and manuscripts. Develop own research program including writing grant proposals and publication
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collaboration with the Materials Design Division (also at IFM) and with the Computer Vision Laboratory at the Department of Electrical Engineering (ISY), a world-class research environment specializing in
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improved health and sustainability, urban planning policy and guidance need to set clear goals and visions for walking for all. This project is a part of the Research Program for Walking (Financed by
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Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing
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integrating advanced vision and language transformers with an Explainable AI (XAI) layer, the project aims to create a robust system for accurate threat identification, providing actionable intelligence
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adaptation techniques for varied communication contexts Key Responsibilities Develop and implement computer vision approaches for sign language recognition Create capabilities that look beyond hand gestures
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relations with non-HEI partner organisations. SEDarc’s vision is to offer a transformative social science training experience that combines leading- edge research skills training, high-quality placements
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between