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stakeholders, end users, industry partners, and multidisciplinary research teams to support system integration and project delivery. Preferred Skills Python, C++, ROS/ROS2. Computer Vision (OpenCV, Deep Learning
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· Lead the design and implementation of mixture-of-experts neural architectures and reinforcement learning pipelines for counterfactual disease trajectory simulation for EMED, an NIH-funded multi-modal AI
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in close partnership with experimental colleagues across knitted sensor arrays and piezoelectric/triboelectric energy harvesting, developing deep technical understanding of both systems and building
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At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
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design, business scoping, project coordination and implementation support for healthcare projects. This role is focused on Healthcare Design and Business. The candidate should have a deep understanding of
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on Healthcare Design and Business. The candidate should have a deep understanding of health-related workflows and experience coordinating project implementation with clear outcomes delivered. The Research Fellow
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, including collaboration with industry partners. Experience applying AI, machine learning, or advanced analytics to integrate chemical, sensory, process and experimental data to support innovation and process
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Environments Work plan: - The activities to be carried out will focus on the study and evaluation of automatic speech recognition technologies, with particular emphasis on deep learning-based approaches and
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, business scoping, project coordination and implementation support for healthcare projects. This role is focused on Healthcare Design and Business. The candidate should have a deep understanding of health